REVIEW

Adv. Drug Alcohol Res., 30 June 2023
https://doi.org/10.3389/adar.2023.11345

E-cigarettes may serve as a gateway to conventional cigarettes and other addictive drugs

www.frontiersin.orgGrace Chen1, www.frontiersin.orgShafiqur Rahman2 and www.frontiersin.orgKabirullah Lutfy3*
  • 1College of Osteopathic Medicine, Western University of Health Sciences, Pomona, CA, United States
  • 2Department of Pharmaceutical Sciences, College of Pharmacy, South Dakota State University, Brookings, SD, United States
  • 3College of Pharmacy, Western University of Health Sciences, Pomona, CA, United States

Electronic cigarettes (e-cigarettes) are devices that allow the user to inhale nicotine in a vapor, and are primarily marketed as a means of quitting smoking and a less harmful replacement for traditional cigarette smoking. However, further research is needed to determine if vaping nicotine via e-cigarettes can be effective. Conversely, nicotine has been considered a gateway drug to alcohol and other addictive drugs and e-cigarettes containing nicotine may have the same effects. Previous reports have shown that e-cigarette use may open the gate for the use of other drugs including conventional cigarettes, cannabis, opioids, etc. The increasing prevalence of e-cigarettes, particularly among youth and adolescents in the last decade have led to an increase in the dual use of e-cigarettes with alcohol, cannabis, and other illicit drug use like heroin and 3-4-methylenedioxymethamphetamine (MDMA). The advent of e-cigarettes as a device to self-administer addictive agents such as cocaine and synthetic cathinones may bring about additional adverse health effects associated with their concurrent use. This review aims to briefly describe e-cigarettes and their different generations, and their co-use with other addictive drugs as well as the use of the device as a tool to self-administer addictive drugs, such as cocaine, etc.

Introduction

E-cigarettes were first introduced to the U.S. in 2006, primarily marketed as a means of smoking cessation and a less harmful replacement for traditional cigarette smoking [1]. In its U.S. patent (No. 8,490,628 B2), the e-cigarette is described as “An electronic atomization cigarette that functions as substitutes for quitting smoking and cigarette substitutes includes a shell” [2]. Since their introduction a decade and a half ago, e-cigarettes have undergone numerous structural changes, from early cigarette lookalikes called “cigalikes,” to modifiable tank e-cigarettes and, most recently, pod mods, better known as “pods,” which were first introduced in 2015 [3]. In 2018, JUUL, the most recognized pod, accounted for over three-quarters of the e-cigarette market [4]. The widespread popularity of e-cigarettes particularly among youth has accounted for an increase from 1.5% among youth in 2011 to 20.8% among youth in 2018 [5]. Several factors have increased the popularity of e-cigarettes among young adults in recent years [69], including their polished design, ease of use [10, 11], decreased aversive effects, wide variety of flavors [12], and the ability to be used discreetly [1315]. The rapid rise of e-cigarettes preceded the research into the safety, efficacy, and effects on public health. Unlike conventional cigarettes, e-cigarette products evolve rapidly and vary in marketing practices between different countries, influencing how e-cigarettes are viewed and their impact in different areas [2]. This review aims to discuss the literature regarding the impact of e-cigarettes as a gateway to the use of conventional cigarettes, cannabis, alcohol, and other addictive drugs. The effect of e-cigarettes on cathinones, a new class of abused substances is also discussed.

E-cigarette and conventional cigarette use

Along with the toxic effects of e-cigarettes, its pharmacological effects may also extend to its potential as a gateway drug for conventional cigarette use. While e-cigarettes have traditionally been hailed as a safer alternative to conventional cigarette use, recent studies have shown that e-cigarette users are 3–4 times as likely to begin using conventional cigarettes [1618]. Additionally, many e-cigarette brands have been shown to contain more nicotine than claimed by the manufacturer, even among nicotine-free e-cigarettes; studies have shown that these brands may contain up to between 92% and 104% more nicotine than stated on the packaging [19, 20]. As nicotine has been shown to have multifactorial effects on brain development, such as those involved in mood disorders, attention, learning and memory, and impulsivity, this increase in e-cigarette use thus makes adolescents more prone to become users of conventional cigarettes, drugs, and alcohol [21]. Nicotine is the primary ingredient involved in the craving and withdrawal effects in both conventional cigarette and e-cigarettes. The drug acts primarily via activation of nicotinic acetylcholine receptors (nAChRs) in the brain and causes release of dopamine into the nucleus accumbens (NAc) [2224]. Interestingly, while e-cigarettes were initially touted as a means of smoking cessation, they may actually be perpetuating increased nicotine use. A survey from the National Youth Tobacco Survey from 2011 to 2017 found that around 50% of adolescents who used one tobacco product also used multiple other tobacco products [25]. A 2017 systematic review by the National Academic Press found that there was significant evidence linking e-cigarettes to increased conventional cigarette use in both adolescents and young adults [26]. There have been clear links demonstrating e-cigarette and conventional cigarette use. For example, a review in 2019 on e-cigarette research found that adolescents who had previously used e-cigarettes were 3.6 times more likely to smoke conventional cigarettes than those who had not [2729]. However, users of conventional cigarettes are likely to be in the same environment, demographic circle, and have similar behavioral characteristics to e-cigarette users [30]. These factors likely indicate that e-cigarette users who go on to use conventional cigarettes are already more susceptible to nicotine use. A recent study examining the relationship between these two substances used a model that produced less-biased and confounding effects [30]. They found that e-cigarette use was correlated with being twice as likely to use conventional cigarettes [30]. However, e-cigarette usage was not associated with current conventional cigarette smokers [30]. The authors further explain that the risk factors surrounding e-cigarette and conventional cigarette use are very similar—peer use, impulsivity, family education and history of smoking, internalizing symptoms, illicit substance use, sensation-seeking behavior—suggesting that use of conventional cigarettes is likely completely due to an underlying propensity for nicotine use [30]. Thus, while literature regarding the use of e-cigarettes as a gateway drug exists on both sides of the argument, more research is needed to definitively evaluate the use of e-cigarettes as a gateway to conventional cigarette use.

E-cigarette and alcohol use

Studies on adolescents have demonstrated a clear order of substance use, specifically from legal substances such as alcohol and cigarettes to cannabis and then to illicit drugs, such as heroin or another opioid, methamphetamine, or cocaine [31]. As stated above, the dramatic rise of e-cigarette use among adolescents has been attributed to several factors, including its relatively easy accessibility, flavoring, and marketing, as well as lack of knowledge regarding their adverse effects [32, 33]. Although e-cigarettes were marketed as a means of conventional cigarette smoking cessation, studies among adults concerning the impact of e-cigarettes in this regard have largely been negative or not been definitive, with most analyses reporting a lack of substantial studies and wide confidence intervals [27, 3437]. While alcohol and nicotine are implicated as gateway drugs in adolescents and young adults, using one before the other differs among ethnic and cultural demographics [38]. For example, Black youth were less likely than other races to begin smoking and also become habitual smokers, but this would reverse into adulthood [39]. Similarly, while there was a positive correlation among Whites concurrent alcohol and nicotine use, this finding was not observed in a study with Black participants [40]. Another study found that while among most European countries tobacco use was a predictor of future alcohol use, Dutch girls had a converse relationship [38]. However, alcohol and nicotine are more commonly co-abused than used separately; a study of high school students found that 55% only drank alcohol, while 88% used both substances simultaneously [41]. Although alcohol is the most frequently used substance among adolescents, tobacco use has been shown to predict alcohol use than its reverse counterpart [38, 42].

Alcohol affects multiple neurotransmitter systems in the brain, including dopamine, γ-amino butyric acid (GABA), glutamate, and serotonin [43]. In particular, the increase in accumbal dopamine is implicated in nicotine reinforcement and its motivational effects. Alcohol also stimulates the mesolimbic dopaminergic neurons in the ventral tegmental area, causing increased release of dopamine in the NAc [44, 45]. Activation of dopamine receptors in this area will increase the likelihood that a person repeats a particular behavior [46]. As such, the development of alcohol dependence may derive from its motivational properties which create the desire to consume alcohol as a result of its reinforcing action in the NAc [46].

In the brain, nicotine primarily serves to activate the nicotinic acetylcholine receptors (nAChRs) and stimulate dopamine release in the NAc, thereby increasing both cholinergic and dopaminergic neurotransmissions. It also causes the release of norepinephrine and serotonin, as well as affecting brain areas, such as the basal ganglia, hippocampus, and prefrontal cortex [24]. Alcohol affects a wide range of areas and neurotransmitters in the CNS, notably exciting the GABAergic system, modulating the dopaminergic system, inhibiting the glutamatergic system, and affecting the serotonergic system, as well as brain areas, such as prefrontal cortex, and limbic systems [47]. The large amount of systems affected by nicotine and alcohol play a role in not only in the effect of individual drug, but also the effect of the combined drugs and in potentiating the effect of each other. In rats, concurrent ingestion of nicotine and alcohol was shown to create an additive increase in the dopamine release in the NAc [48]. Nicotine was shown to cause the release of stress hormones such as glucocorticoids in the VTA to regulate the GABAergic activity induced by alcohol, thus reducing alcohol’s dopaminergic signals. This reduced dopamine signal has been associated to increased likelihood for alcohol and drug abuse as well as increased impulsivity; in other words, disruption of the GABAergic system has been positively associated with increased alcohol consumption [49, 50]. This demonstrates that the use of nicotine may reinforce the addictive effects of alcohol.

The impact of e-cigarettes as a gateway drug into alcohol use has been less studied, primarily due to the recent rise in adolescent e-cigarette use [51, 52]. Among adults, studies observing the impact of e-cigarettes on concurrent alcohol use have been varied, largely due to whether the increase in alcohol was due to conventional cigarettes or e-cigarettes. Studies have found that either nicotine product contributed to alcohol consumption [53], while others have demonstrated that e-cigarette users are more likely to consume higher levels of alcohol [54]. Conventional cigarettes were more likely than e-cigarettes to be concurrently used with alcohol in social settings [55], and heavy drinking was linked to individuals who consumed both e-cigarettes and conventional cigarettes, as compared to those who solely used e-cigarettes [56]. Finally, studies on adolescents who were heavy drinkers did not find a difference between those who used conventional cigarettes and those who used e-cigarettes [56]. Despite the variability regarding the influence of e-cigarettes on alcohol consumption, alcohol has been associated with increased pleasure when used in conjunction with nicotine. The range of data highlights a need to investigate further the relationship between e-cigarettes, alcohol, and conventional cigarettes.

Unhealthy drug use often occurs together in adolescents, i.e., cigarette use and alcohol consumption is commonly associated with behaviors such as unprotected sex, violent and criminal behavior, antisocial activity, and sedentary lifestyles [57, 58]. Alcohol, in particular, is a high health risk among adolescents; the Youth Risk Behavior Surveillance System 2017 survey reported that among high school students, 30% had consumed alcohol recently, 17% were in a car with someone who had consumed alcohol, 14% were binge-drinkers, and 6% had driven while drinking. Consequences from these behaviors manifest as brain developmental changes, failing in school, unprotected sex, legal issues, assault, and abuse of other drugs [59].

A meta-analysis comparing statistics among students who drank alcohol and concurrently used e-cigarettes concluded that efforts to curtail adolescent e-cigarette use should also simultaneously focus on stopping adolescent alcohol use [20]. Adolescent e-cigarette users were 6.5-times more likely to drink alcohol as well as meet the criteria of drunkenness and binge drinking [20]. This clustering of risky behaviors (e.g., alcohol and e-cigarettes) has been postulated to occur because they cover the same physical and psychological niche [6062]. The gateway theory states that early use of cannabis, cigarettes, and alcohol progresses to more illicit substances in adulthood [63, 64]. Therefore, this pattern of use may lead to adolescent use of multiple substances to increase experimentation, risk-taking, and sensation-seeking [60, 65, 66]. Thus, the concurrent use of alcohol and e-cigarettes have combined pharmacological effects, which are postulated to activate the reward system and decrease withdrawal symptoms [67].

College-aged students are similarly susceptible to this dual risky behavior, with e-cigarette use increasing greatly in the past few years [68, 69]. As stated above, factors for the popularity of e-cigarettes among college students include more successful marketing, college-aged students being potential leaders in substance abuse patterns, and the novelty and flavors of e-cigarettes [6870]. College students may be more susceptible to the synergistic effects of alcohol and cigarette use, which have traditionally been well-researched [71, 72]. E-cigarette use is more common among college students who already drink and use nicotine products [73, 74]. Among these studies, there is a positive association between binge drinking and e-cigarette use, although the motivations and risk perceptions were not analyzed. A meta-analysis examining the use of e-cigarettes and alcohol, as well as perceptions towards both, found that high alcohol consumption was positively correlated with a larger desire to try as well as continue smoking e-cigarettes [75]. College students who concurrently drank alcohol and used e-cigarettes cited similar reasons for using the latter, such that e-cigarettes were more acceptable, less toxic, and could be used for smoking cessation. These data parallel the research regarding the concurrent use of conventional cigarettes and alcohol among the general population [73]. The simultaneous use of alcohol and e-cigarettes may thus increase the risk among adolescents and young adults, a population vulnerable to risk-taking behaviors [76]. These data suggest that, unlike adult smokers, college-aged individuals do not use e-cigarettes as a means to quit. When examining e-cigarette use among drinkers, it appears that the motivation lies in the use of e-cigarettes as a method to receive nicotinic reinforcement while drinking in areas where conventional cigarette use is prohibited [70, 75]. This is supported by the fact that college students are more likely to endorse e-cigarettes as a more socially acceptable vehicle [69, 77]. Thus, e-cigarettes appear to cover a niche among concurrent alcohol and nicotine users that conventional cigarettes cannot provide.

E-cigarettes and cannabis use among adolescents

In the United States and worldwide, cannabis is the most widely consumed illicit substance [78]. While delta-9-tetrahydrocannabinol (THC), the primary psychoactive ingredient in cannabis, has been demonstrated to increase dopamine release upon acute administration, its chronic use has been shown to blunt the rise in dopamine [7981]. Initiation of use begins most often during the adolescent period, and research has demonstrated a link between heavy cannabis use and adverse health and social outcomes in adulthood [31, 8286]. For example, cannabis has been shown to adversely affect neurocognitive function, causing learning difficulties, memory impairment, and lower attention and coordination rates [87, 88]. Higher levels of cannabis use during adolescence have been linked to higher rates of additional substance abuse, lower levels of wellbeing, increased risk-taking, higher levels of delinquency by age 20, and more difficulty in adulthood [89, 90]. Cannabis use has been linked to increased use of cocaine, prescription opioids, and alcohol [9193]. Even occasional cannabis use has been linked to lower levels of educational attainment and a higher risk of escalation to the use of more illicit abused drugs [94]. Risk factors leading to cannabis use in adolescence include influence by peers, home environment, parental history and monitoring, difficulties in school, personality traits, disinhibition of behavior, as well as externalizing behavior [95102].

Delta (9)-THC, the active ingredient of cannabis, interacts with G-proteins CB1 and CB2 [103]. CB1 mediates most of its psychoactive effects in the brain, and is found in the forebrain, midbrain, and hindbrain—areas associated with control of higher cognitive functions, motor control, and autonomic motor and sensory functions, respectively [103]. Namely, it is the interaction with the forebrain receptors which are thought to potentiate the reward circuits which are responsible for self-administration behavior, as well as the pleasurable and anxiolytic effects [104]. Cannabis has been shown to increase and alter dopaminergic activity in the VTA through the involvement of endogenous opioids [104]. It is believed that cannabinoids either act directly on the dopaminergic neurons or the neural circuits in the VTA [105, 106]. The use of cannabinoid agonists was also shown to reduce the release of GABA in the NAc, thereby disinhibiting dopaminergic neurons from the influence of GABAergic interneurons in the VTA and exert their rewarding effects [107109].

While studies on the summative effects of concurrent nicotine and cannabis use are limited, studies have shown improved cognition in humans and rat studies [110]. This is hypothesized to be due to nAChRs and endocannabinoid receptors overlapping in the corticolimbic regions of the brain, such that activation may serve to dampen some of the effects when these substances are used alone [88, 111, 112]. Additionally, it is hypothesized that cannabis and nicotine may have a synergistic effect on the dopaminergic inputs to the limbic and cortical areas [113, 114]. However, studies on the effects of concurrent nicotine and cannabis use are preliminary, and it is hypothesized that continued co-use is more likely to lead to adverse outcomes [115, 116].

Rates of cannabis use have been rising among adolescents; it is estimated that up to one-third of this demographic will have tried marijuana by the time they graduate [117]. In the U.S., increases in the legality of cannabis have made the drug more accessible to individuals. Adolescents have been shown to view cannabis in a more positive light and have less knowledge about its risk factors [78, 118]. As a result of this increased accessibility, almost twenty percent of adolescents between 13 and 17 admit to frequent use of cannabis [90]. In the face of the adverse effects precipitated by early use of cannabis, the addition of e-cigarettes poses a possibly additive risk for these young individuals [119].

E-cigarettes and cannabis have seen similar trends in use among adolescents. As these two substances are the most commonly used drugs during adolescence, their co-use has provided ways of examining the adverse effects of the co-use. An e-cigarette user is also highly likely to be a cannabis user [120, 121]. A national study among high school students found that almost 40% of current users of e-cigarettes also used THC as an ingredient in their e-cigarettes [122]. In another study, up to 27% of high school e-cigarette users also were using the device to vape cannabis [123]. With the rise in use of e-cigarettes, manufactures are producing products that allow consumption of both products, such as pen-sized vaporizers which are specially designed for dual use. As cannabis is usually vaporized at lower temperatures than e-cigarettes, the higher temperatures reached in these products also propose possible health consequences [106]. Additionally, as these products are unregulated and currently under-researched, the lack of quality control proposes the possibility of adverse effects in users [124]. Studies have shown that compared to nonusers, e-cigarette users were three times more likely to use cannabis [125]. In another study, the use of conventional cigarettes, e-cigarettes, or hookah—all nicotine-containing devices—was linked to the concurrent use of cannabis after 2 years [126]. The increase in vaping as means to consume cannabis has risen as well, with 12.4% of 10th graders and 13.1% of 12th graders vaping cannabis in the past year [119]. The trajectory of e-cigarette use and vaping cannabis have similar patterns between the 11th and 12th grades, with both demonstrating increasing use as well as their co-use being more popular among heavier users [127]. While research on the health effects regarding the concurrent use of cannabis and e-cigarettes is still largely unknown, emerging studies have shown that the concurrent use of these products leads to increased substance use and mental health problems, learning and memory problems, nicotine addiction, difficulties in tobacco smoking cessation, as well as lower motivation for cessation [128, 129]. In addition to these internal problems, the concurrent use of cannabis and e-cigarettes has also been linked to an increased risk of unintentional injuries and risky behavior, such as driving while intoxicated, binge drinking, and abuse of prescription drugs and alcohol [119].

The combinative use of electronic nicotine delivery systems (ENDS) and cannabis also pose many health and social adverse effects. Among ENDS users, cannabis use was related to increased e-cigarette use, anxiety, and problems related to ENDS, while among cannabis users, ENDS use was linked to higher levels of depression, anxiety, and problems related to cannabis [130]. As of February 2020, there have been a total of 2807 cases and 68 deaths linked to e-cigarette or vaping use-associated lung injury (EVALI), which is a clinical diagnosis necessitating e-cigarette use within 90 days before pulmonary symptoms, infiltrates on chest X-ray or CT not explained by secondary factors [131]. While initially believed to be a result of e-cigarette vaping, these deaths were later attributed to the additive vitamin E-acetate, found in unregulated cannabinoid fluids [132, 133]. Dual users of ENDS and cannabis may be exposed to higher levels of carbon monoxide, although neither seem to increase the metabolism of the other. In animal studies conducted with smoke machines, tobacco smoke alone contained higher amounts of its common ingredients, such as nitrosamines and formaldehyde versus cannabis, which contained higher quantities of other substances, such as ammonia and tar. While not studied in combination, these results may indicate that dual use facilitates exposure to higher amounts of toxins [134]. There is currently still a dearth in research regarding the health effects of additive marijuana and nicotine use, but the literature indicates that use of one often implicates the use of another. Additionally, with the legalization of cannabis in 2018, smoke shops have began to carry e-cigarette devices meant to also vape cannabis oil and marijuana [135]. THC derivatives, such as delta-8-THC and delta-10-THC, have been mixed into products marketed as cannabis. These isomers are found in smaller amounts in cannabis, and importantly, are currently federally unregulated. The current research on delta-8-THC and delta-10-THC is minimal [136], and the FDC reports that there were 104 reports of adverse events in users of delta-8-THC. These unregulated substances, which are becoming widely prevalent, may have further consequences on patient safety [137139].

In contrast, individuals who used cannabis or e-cigarettes exclusively demonstrated a lower risk of participating in such behaviors, thus highlighting the potentially additive adverse effects of the co-use [119]. Concurrent users of cannabis and e-cigarettes were also more likely to engage in risky sexual behavior, as dual users were more likely to be sexually active and have higher rates of lifetime sexual partners [119]. These data corroborate the published data detailing the adverse effects of tobacco and cannabis use, such as worsening mental health and decreased neurocognitive function [115]. Thus, the increasing popularity and availability of e-cigarettes and cannabis, combined with users’ shared risk factors, may be contributing the concurrent usage of both substances.

E-cigarettes and illicit drug use

Illicit drugs are defined as drugs that are used for non-medical purposes due to the high risk of abuse [140]. For over half a century, plant-based drugs such as cannabis, cocaine, and synthetic drugs like heroin, α-pyrrolidinopentiophenone (α-PVP), 3,4-methylenedioxypyrovalerone (MDPV), 3,4-methylenedioxy-metaphetamine (MDMA) and amphetamines, and medications like benzodiazepines, methadone, and buprenorphine have been under strict international control [141]. The rise of e-cigarettes have preceded an incidence in the concurrent use of such drugs through the means of inhalation.

In the past decade, there has been more than a ten-fold rise in the transition from conventional smoking to vaping in the United States [142]. As of 2014, e-cigarettes became more popular than traditional cigarettes among US youths [143]. Similarly, 37% of students ages 15–16 in Wales, United Kingdom, had ever used e-cigarettes versus 26% of students who used conventional cigarettes [144]. The drug delivery system of e-cigarettes has experienced a change throughout the generations since the first-generation e-cigarette, which conventionally had the appearance of a cigarette [145]. Second-generation e-cigarettes introduced refillable fluid tanks, a change in style, and bigger rechargeable batteries [146]. Third-generation e-cigarettes made it possible to change the voltage to modify the atomizer temperature, changing the ability to modify how much vapor could be produced [124, 146]. Additionally, these e-cigarettes came equipped with a larger size and battery capacity, which allowed for increased liquid storage of e-cigarette vapor [146]. Fourth-generation e-cigarettes contain nicotine salts, including disposable e-cigarettes such as Juuls, and allow for higher heating coil temperatures [147]. These changes reflect the increasing customizability allowed via this inhalation method.

With the increasing popularity of e-cigarettes comes a consequential increase in the alternative uses of this technology and the question of whether other illicit drugs may be consumed via a similar method [148, 149]. Cannabis vaporization has existed for a long time, and studies have shown that medical cannabis vaporization can produce similar blood concentrations of THC as conventional cannabis smoking [150152]. An examination of the pharmacokinetics and pharmacodynamics of other drugs of abuse indicates that the delivery system provided by e-cigarettes allows for a similar route of administration [153]. By definition, “vaping” describes inhalation of a substance through the mouth using a device that is electrically powered to such that it is vaporized and consumed. Examples of well-known products include nicotine dissolved in e-liquids using a mixture of glycerine and propylene glycol as well as concentrated plant material extract [153]. While the literature on the mechanism-of-action of cannabinoid and nicotine is well established, there lies much potential and harm in the ingestion of alternative illicit drugs via this means of delivery.

3-4-Methylenedioxymethamphetamine (MDMA)

Colloquially known as “molly” and “ecstasy,” 3-4-Methylenedioxymethamphetamine (MDMA) is a central nervous system (CNS) psychostimulant and derivative of amphetamine that is commonly used to increase feelings of euphoria and empathy [154]. It works by blocking the reuptake of monoamine neurotransmitters such as dopamine, norepinephrine, and serotonin—particularly the latter two. Additionally, MDMA further decreases monoamines’ reuptake by reversing monoamine transporters and serves as a competitive substrate [155158]. Frequent usage of MDMA leads to rapid tolerance and increased adverse events; however, these toxic effects and dosages are customized based on individual physiology and susceptibility [159]. Regarding its use as an inhaled device, up to 11.7% of individuals who vaped have also vaped MDMA [160]. On internet forums, users have described the use of vaporization techniques, including tabletop vaporizers and e-cigarettes, to deliver the drugs. Of note was that some users made sure to convert MDMA into a freebase form before inhalation [153]. While there is still no definitive literature regarding the concurrent use of e-cigarettes and MDMA, a similar route of administration and neurochemical interactions in the brain may contribute to a dual use.

Synthetic cathinones

Synthetic cathinones are a growing new family of psychoactive substances, and are seen as an alternative to amphetamines and cocaine [161]. Up to 30% of new psychoactive products were labelled as synthetic cathinones, and are commonly known as “bath salts,” “research chemicals”, and “plant foods” [161163]. The lack of quality control in its manufacturing makes it difficult to determine chemical purity, with the majority of these substances having more than one psychoactive ingredient [164, 165]. In the US, popular synthetic cathinones include pentedrone, MDPV, and α-PVP. Similarly to MDMA and amphetamines, they work by inhibiting norepinephrine, serotonin, and dopamine transporters [163]. Interestingly, because these drugs vary in their affinity for these monoamine transporters, their mechanism of action and their effect vary across different products [166]. Additionally, these products also function as releasers of monoamines, with likely different effects on different neurotransmitters [163]. These drugs are associated with rapid onset of action depending on method of administration, ranging from minutes to hours [163]. Their reported effects are similar to those of amphetamines, and include increased empathy, focus, sociability, sexual arousal, and euphoria [163, 164]. The method of smoking or vaporizing these synthetic cathinones was first published in 2012–2013, around the time when e-cigarette devices were becoming popular [130]. It was demonstrated that vaporizing these products allowed for a faster onset of action, shorter duration, and quick onset of effects compared to the more common “snorting,” or nasal inhalation [112]. Thus, e-cigarettes are being used as a means to vaporize such drugs with positive feedback from users [55]. However, similarly to cannabis, the heating of these commonly “snorted” stimulants may produce different psychoactive and toxic metabolites as a result of thermolysis [112]. Earlier studies examining the thermolytic products of methamphetamine and synthetic cathinones have been linked to substances which cause respiratory irritation, tachycardia, hypotension, and bronchoconstriction [167169].

α-PVP is more potent than amphetamines or cocaine at the dopamine and norepinephrine transporters, and this drug has been linked to at least 23 deaths between 2011 and 2015 [161, 164, 170]. These drugs are administered via different routes, including oral, injection, snorting, smoking, inhaling, rectal, and sublingual [170]. Research on drug forums has shown that the use of e-cigarettes to vaporize these products has been linked to faster onset as well as a more rapid duration of action [160]. Up to 7.1% of e-cigarette users have been reported to have vaped α-PVP [171].

Mephedrone inhibits serotonin, norepinephrine, and dopamine transporters [164, 172], and has a rapid duration of action, allowing for 1 g–2 g to be consumed in a single episode with effects lasting up to 4 h [164, 173]. At least 12 fatalities related to mephedrone have been reported [173]. Side effects include fluctuating body temperatures, mydriasis, blurry vision, agitation, hypertension, chest pain, paranoia, suicidal ideation, paranoia, and psychosis [161, 173, 174]. Up to 8.5% of e-cigarette users have reported vaping mephedrone [171].

While MDPV does not influence neurotransmitter release, it is an inhibitor at dopamine and norepinephrine transporters [161, 162, 166, 170, 175]. Side effects of MDPV use include acute kidney failure, psychosis, paranoia, rhabdomyolysis, metabolic acidosis, and hyperthermia [176]. Reports also exist showing that MDPV is consumed via vaporization [177] Thus, while definitive literature regarding the dual use of e-cigarettes and synthetic cathinones α-PVP, mephedrone, and MDPV is still premature, similarities in their mechanism of action and route of administration may play a role in their current use.

Cocaine

Cocaine, commonly known as “coke” in its salt form and “crack” in its free base form, is a CNS and peripheral nervous system (PNS) stimulant, is the second-most abused illicit drug in the world [178]. Its mechanism of action is via blockage of the dopamine, norepinephrine, and serotonin transporter [178, 179]. In the limbic system, the blockade of DA transporter in the NAc has been associated with the feelings of pleasure generated by cocaine ingestion [180]. In addition, the drug also affects the electrical conduction of the heart, blocking voltage-gated sodium channels [181]. Users report that “crack” is a more impure version of cocaine, thus distinguishing it from its counterpart free base cocaine [153]. Cocaine is administered through inhalation and intravenous methods and has a rapid duration of action, thus leading to higher levels of user redosing [182, 183]. This leads to a greater risk of drug dependence and toxicity [182]. Additionally, the toxic effects of cocaine are related to user susceptibility, tolerance, and route of administration, with intake of more than 1 g demonstrating fatality [184]. Side effects of cocaine usage include ventricular fibrillation and tachycardia, seizures, myocardial infarction, cerebrovascular accident, violent behavior, QRS prolongation, delirium, respiratory arrest, anxiety, and muscle rigidity [185]. When compared with hydrochloride salt of cocaine, the use of “crack” is associated with increased aggression and violent behavior [182].

In a 2012 survey of US adults aged 18 to 34, about 88% of those who used cocaine at least once had smoked cigarettes previously, 5.7% began both substances simultaneously, 3.5% started with cocaine first, while 2.9% had never smoked cigarettes before using cocaine [186]. In a study on dogs, the combined use of cocaine and nicotine produced synergistic effects such as increased heart rate and blood pressure when nicotine was administrated after cocaine; however, the excitatory effects produced by nicotine was decreased by cocaine use [180]. Similarly, a study on rats demonstrated that pretreatment with a nicotine patch decreased rats’ “high” and “stimulated” behavior, and increased the time to detect the euphoric effects of cocaine; conversely, nicotine did not have an effect on the physiological effects of cocaine [187]. The pretreatment of nicotine or cocaine before the other has shown to have varying effects [188]. Preclinical studies have shown that animals pretreated with nicotine in early adolescence demonstrate increased rewarding effects of cocaine as well as locomotor sensitization [189192]. In another study, pretreatment with nicotine reduced the rewarding effect of cocaine in adult mice [193]. Thus, while there is research demonstrating a positive synergistic process between these substances’ dual use, more research is required to better observe the health effects on humans.

A positive association has long been established regarding cocaine and conventional cigarette use. In a study from 1990, data showed that compared to individuals who did not use drugs, those who used cocaine were at higher likelihood to smoke cigarettes [194]–up to 3–4 times more likely [195, 196]. Conversely, the use of stimulants has been associated with increased use of conventional cigarettes and nicotine [197, 198]. In animal studies on monkeys and Sprague-Dawley rats, cocaine has been shown to serve as a substitute for nicotine, as well as the reverse, although results have produced variable outcomes [199203]. Preclinical studies on rats showed the prior nicotine exposure increase cocaine self-administration but this was only observed in adolescent but not adult rats [204]. However, pretreatment with nicotine in adult mice showed decreased cocaine-induced condition place preference, and the robustness of the response was dependent on nicotine dosage [193]. Clinical research regarding the link between conventional cigarette and cocaine use has similarly produced mixed results. A 1996 study investigating cocaine-dependent smokers and non-smokers found that the former reported spending more money and using more cocaine per week [205]. Studies comparing subjects’ physiologic and subjective responses found that nicotine enhances cravings for cocaine [206], while another found similar responses to both substances [207]. A questionnaire focused on asking users whether nicotine enhances desire for cocaine and vice versa concluded that the cigarette smoking may positively influence the high and cravings caused by cocaine use [208]. The concurrent usage regarding cigarette smoking and cocaine use may be due to the neurochemical similarities in that both substances alter the brain’s dopaminergic activity, specifically increasing dopaminergic release in the NAc [209214]. These similarities thus may be carried over to the concurrent usage of e-cigarettes and cocaine.

A prospective cohort study in the United Kingdom followed over five thousand youth regarding the association between e-cigarette and subsequent cocaine use. They found that youth who had used e-cigarettes before 14 years of age were 2 times more likely to use cocaine (7.6% versus 3.1%) when matched with non e-cigarette users [215]. While definitive literature implicating e-cigarettes as a gateway drug for cocaine use is still unestablished, studies on adolescent rats found that pretreatment with nicotine increased self-administration of cocaine and also increased cocaine reward [204, 216]. The connection between cocaine and e-cigarettes lies in the usage of “crack” cocaine, which is able to be purchased on the “dark web,” a subset of the internet that cannot be easily accessed by governmental agencies [217]. In user surveys, up to 8.4% and 10.9% of e-cigarettes users had vaped crack cocaine and cocaine powder, respectively [160]. Of these, 74% preferred to use e-cigarettes as their means of administration [160]. Cocaine decomposes at the required vaporization temperature required of e-cigarettes; however, hydrochloride salt of cocaine has a melting point of 195°C [218]. However, the free base form of cocaine only decomposes at 200°C, and cocaine can be volatilized to this free base form from the hydrochloride salt form at 100°C [149]. The use of thermolytic degradants with cocaine and methamphetamine products, however, has been associated with carcinogenic elements and psychoactive pyrolysis substances [171]. Thus, while the literature between e-cigarette and cocaine use is still limited, a well-documented positive association with conventional cigarettes as well as similar neurochemical properties may provide future revelations on their concurrent use and influence.

Opioids

Heroin

Heroin is a Schedule I drug associated with up to 90,000 total US deaths following its intravenous, snorting, and inhalation route of administration [159, 219, 220]. In 2020 the CDC reported that over 13,000 individuals died using drugs containing heroin, which amounts to over 4 per 100,000 individuals [233]. This reflects a greater than 7-fold increase between 1999 and 2020 [233]. After crossing the blood-brain-barrier, heroin is converted into 6-monoacetylmorphine (6-MAM) and subsequently morphine [220,221]. Additionally, it is also converted into other substrates such as morphine-3-glucuronide (M3G), a toxic substrate [220]. Morphine, 6-MAM, and heroin all have an affinity for the mu-opioid receptor, and have similar effects [221]. Side effects of heroin include leukoencephalopathy, coma, pulmonary edema, seizures, sinus tachycardia, paranoia, agitation, hallucinations, and sudden death [221]. The term “chasing the dragon” is century-long known method for its ingestion, in which users use a heated metal surface, such as a spoon, to inhale its vapor [222]. However, the side effects and toxicities are dependent on user susceptibility and duration of usage. Vaporizing heroin at higher temperatures produces pyrolysis substances and side effects including encephalopathy and acute eosinophilic pneumonia [149, 223]. Analysis of drug forums has shown heroin in its free base form is also ingested via e-cigarette devices, and that more than 7% of electronic vaping users had ingested heroin through these means [160].

Fentanyl

Fentanyl an opioid receptor agonist used as a preanesthetic agent is involved in more than 70% of all opioid-related deaths [224,225]. In 2021, the US reported 71,238 deaths due to opioids, which is up from 57,834 in 2020 [234]. Up to 100 times more potent than morphine, fentanyl diffuses quickly through the body’s membranes. As a lipophilic substance, fentanyl’s pharmacokinetics vary largely in individuals depending on their level of adipose tissue [226]. The effects of fentanyl are similar to those of opioids used to induce drowsiness, euphoria, anxiolysis, and analgesic effects [227]. Side effects of fentanyl usage include confusion, pruritus, nausea, orthostatic hypotension, constipation, seizures, weakness and hallucination [228]. Causes of fentanyl overdose include respiratory arrest, extreme fatigue and confusion, obtundation, bradypnea, and cardiac arrest [229]. In the context of inhalation of fentanyl, 7.3% of e-cigarette device users reported vaping fentanyl [160]. Case reports including inhaled fentanyl intoxication of its derivative 4-fluorobutyrfentanyl (4-FBF) as well as a young adult with 4-FBF and an e-cigarette near his body both showed blood compositions of e-cigarette fluid and 4-FBF [230]. Another case report describes a 36-year old male with the primary complaint of altered mental status reporting usage of acetylfentanyl [231].

Thus, while the use of these opioids with e-cigarettes requires more studies, these documented instances of concurrent heroin and fentanyl usage with e-cigarettes provides an opening to possibilities regarding their dual usage.

Concluding remarks

This review aimed at exploring the effect of e-cigarettes on the concurrent use of other drugs of abuse, particularly among adolescents and young adults, as well as provide insight into shared characteristics predisposing individuals to their concurrent usage. E-cigarettes have emerged onto the market as an easily accessible and attractive means of consuming nicotine. With few governmental regulations regarding their distribution, marketing, and legality, e-cigarettes have become commonly used among adolescents and young adults. The adverse effects of nicotine on the developing young adult brain have been well-studied, as well as the effect on the brain dopaminergic pathway produced by conventional cigarettes and e-cigarettes. As nicotine has been implicated as a gateway drug into other addictive drugs, the rise of e-cigarettes has also given way to the concurrent usage of other substances, such as alcohol and cannabis. While literature on whether e-cigarettes actually predispose individuals to other drugs is still variable, there have been documented concurrent usage with these drugs, possibly due to a similarity in risk-factors and neuronal pathways. The properties of nicotine are well-documented for over a century, including its adverse effects on the brain and the consequences on adolescent and young adult use. E-cigarettes have been shown to serve as a vehicle for the inhalation of other drugs, such as MDMA, synthetic cathinones, cocaine, and opioids, which may further encourage the concurrent usage of these drugs. One potential target for the gateway effect of conventional cigarettes and potentially that of e-cigarettes is the rise in dopamine in the NAc, as most drugs abused by humans increase the level of dopamine in this brain area [211] and has been implicated in their pleasurable effects and in the initiation and maintenance of substance use disorders. Indeed, an earlier microdialysis study showed that co-administration of nicotine and alcohol increases accumbal dopamine to a greater level than each drug alone, a synergistic effect [232]. Thus, while e-cigarettes are marketed as an alternative strategy for curbing nicotine addiction, the rise of e-cigarette use in adolescents and younger adults makes it a serious contender as a gateway towards other drugs of abuse.

Author contributions

GC and KL discussed the project; GC prepared the initial drafts; KL reviewed and edited the drafts; GC, SR, and KL reviewed the final version, edited and approved the final version. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

E-Cigarettes; e-cigarettes, Electronic cigarettes; nAChRs, nicotinic acetylcholine receptors; NAc, nucleus accumbens; GABA, γ-amino butyric acid; THC, tetrahydrocannabinol; α-PVP, α-pyrrolidinopentiophenone; MDPV, 3,4-methylenedioxypyrovalerone; MDMA, 3,4-methylenedioxy-metaphetamine; CNS, central nervous system; PNS, peripheral nervous system; 6-MAM, 6-monoacetylmorphine; 4-FBF, 4-fluorobutyrfentanyl.

References

1. Cahn, Z, and Siegel, M. Electronic cigarettes as a harm reduction strategy for tobacco control: A step forward or a repeat of past mistakes? J Public Health Pol (2011) 32(1):16–31. doi:10.1057/jphp.2010.41

CrossRef Full Text | Google Scholar

2. Grana, R, Benowitz, N, and Glantz, SA. E-Cigarettes: A scientific review. Circulation (2014) 129(19):1972–86. doi:10.1161/CIRCULATIONAHA.114.007667

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Fadus, MC, Smith, TT, and Squeglia, LM. The rise of e-cigarettes, pod mod devices, and JUUL among youth: Factors influencing use, health implications, and downstream effects. Drug Alcohol Depend (2019) 201:85–93. doi:10.1016/j.drugalcdep.2019.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Huang, J, Duan, Z, Kwok, J, Binns, S, Vera, LE, Kim, Y, et al. Vaping versus JUULing: How the extraordinary growth and marketing of JUUL transformed the US retail e-cigarette market. Tob Control (2019) 28(2):146–51. doi:10.1136/tobaccocontrol-2018-054382

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Cullen, KA, Ambrose, BK, Gentzke, AS, Apelberg, BJ, Jamal, A, and King, BA. Notes from the field: Use of electronic cigarettes and any tobacco product among middle and high school students - United States, 2011-2018. MMWR Morb Mortal Wkly Rep (2018) 67(45):1276–7. doi:10.15585/mmwr.mm6745a5

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Allem, JP, Dharmapuri, L, Unger, JB, and Cruz, TB. Characterizing JUUL-related posts on twitter. Drug Alcohol Depend (2018) 190:1–5. doi:10.1016/j.drugalcdep.2018.05.018

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Hammond, D, Wackowski, OA, Reid, JL, and O'Connor, RJ. Use of JUUL E-cigarettes among youth in the United States. Nicotine Tob Res (2020) 22(5):827–32. doi:10.1093/ntr/nty237

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Hrywna, M, Bover Manderski, MT, and Delnevo, CD. Prevalence of electronic cigarette use among adolescents in New Jersey and association with social factors. JAMA Netw Open (2020) 3(2):e1920961. doi:10.1001/jamanetworkopen.2019.20961

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Vallone, DM, Cuccia, AF, Briggs, J, Xiao, H, Schillo, BA, and Hair, EC. Electronic cigarette and JUUL use among adolescents and young adults. JAMA Pediatr (2020) 174(3):277–86. doi:10.1001/jamapediatrics.2019.5436

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Barrington-Trimis, JL, and Leventhal, AM. Adolescents' use of "pod mod" E-cigarettes - urgent concerns. N Engl J Med (2018) 379(12):1099–102. doi:10.1056/NEJMp1805758

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Kavuluru, R, Han, S, and Hahn, EJ. On the popularity of the USB flash drive-shaped electronic cigarette Juul. Tob Control (2019) 28(1):110–2. doi:10.1136/tobaccocontrol-2018-054259

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Kinouani, S, Pereira, E, and Tzourio, C. Electronic cigarette use in students and its relation with tobacco-smoking: A cross-sectional analysis of the i-share study. Int J Environ Res Public Health (2017) 14(11):1345. doi:10.3390/ijerph14111345

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Pepper, JK, Ribisl, KM, and Brewer, NT. Adolescents' interest in trying flavoured e-cigarettes. Tob Control (2016) 25(2):ii62–66. doi:10.1136/tobaccocontrol-2016-053174

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Ramamurthi, D, Chau, C, and Jackler, RK. JUUL and other stealth vaporisers: Hiding the habit from parents and teachers. Tob Control (2018) 28:610–6. doi:10.1136/tobaccocontrol-2018-054455

CrossRef Full Text | Google Scholar

15. Yingst, JM, Lester, C, Veldheer, S, Allen, SI, Du, P, and Foulds, J. E-cigarette users commonly stealth vape in places where e-cigarette use is prohibited. Tob Control (2019) 28(5):493–7. doi:10.1136/tobaccocontrol-2018-054432

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kipping, RR, Smith, M, Heron, J, Hickman, M, and Campbell, R. Multiple risk behaviour in adolescence and socio-economic status: Findings from a UK birth cohort. Eur J Public Health (2015) 25(1):44–9. doi:10.1093/eurpub/cku078

CrossRef Full Text | Google Scholar

17. Soneji, S, Barrington-Trimis, JL, Wills, TA, Leventhal, AM, Unger, JB, Gibson, LA, et al. Association between initial use of e-cigarettes and subsequent cigarette smoking among adolescents and young adults: A systematic review and meta-analysis. JAMA Pediatr (2017) 171(8):788–97. doi:10.1001/jamapediatrics.2017.1488

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Tulsieram, KL, Rinaldi, S, and Shelley, JJ. Recommendations: Will the tobacco and vaping products act go far enough? Can J Public Health (2017) 108(3):e328–e330. doi:10.17269/CJPH.108.6039

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Goniewicz, ML, and Zielinska-Danch, W. Electronic cigarette use among teenagers and young adults in Poland. Pediatrics (2012) 130(4):e879–85. doi:10.1542/peds.2011-3448

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Rothrock, AN, Andris, H, Swetland, SB, Chavez, V, Isaak, S, Pagane, M, et al. Association of E-cigarettes with adolescent alcohol use and binge drinking-drunkenness: A systematic review and meta-analysis. Am J Drug Alcohol Abuse (2020) 46(6):684–98. doi:10.1080/00952990.2020.1771723

PubMed Abstract | CrossRef Full Text | Google Scholar

21.U. S. Department Health and Services. E-Cigarette use among youth and young adults: A report of the surgeon general. Atlanta (GA): Centers for Disease Control and Prevention (2016).

Google Scholar

22. Rahman, S, Zhang, J, Engleman, EA, and Corrigall, WA. Neuroadaptive changes in the mesoaccumbens dopamine system after chronic nicotine self-administration: A microdialysis study. Neuroscience (2004) 129(2):415–24. doi:10.1016/j.neuroscience.2004.08.010

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Rahman, S, Engleman, EA, and Bell, RL. Nicotinic receptor modulation to treat alcohol and drug dependence. Front Neurosci (2014) 8:426. doi:10.3389/fnins.2014.00426

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Tiwari, RK, Sharma, V, Pandey, RK, and Shukla, SS. Nicotine addiction: Neurobiology and mechanism. J Pharmacopuncture (2020) 23(1):1–7. doi:10.3831/KPI.2020.23.001

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Wang, TW, Gentzke, A, Sharapova, S, Cullen, KA, Ambrose, BK, and Jamal, A. Tobacco product use among middle and high school students - United States, 2011-2017. MMWR Morb Mortal Wkly Rep (2018) 67(22):629–33. doi:10.15585/mmwr.mm6722a3

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Eaton, DL, Kwan, LY, and Stratton, K, editors. Public health consequences of E-cigarettes. Washington (DC): National Academies Press (2018).

Google Scholar

27. Kulik, MC, Lisha, NE, and Glantz, SA. E-Cigarettes associated with depressed smoking cessation: A cross-sectional study of 28 European union countries. Am J Prev Med (2018) 54(4):603–9. doi:10.1016/j.amepre.2017.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Watkins, SL, Glantz, SA, and Chaffee, BW. Association of noncigarette tobacco product use with future cigarette smoking among youth in the population assessment of tobacco and health (PATH) study, 2013-2015. JAMA Pediatr (2018) 172(2):181–7. doi:10.1001/jamapediatrics.2017.4173

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Jenssen, BP, and Wilson, KM. What is new in electronic-cigarettes research? Curr Opin Pediatr (2019) 31(2):262–6. doi:10.1097/MOP.0000000000000741

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kim, S, and Selya, AS. The relationship between electronic cigarette use and conventional cigarette smoking is largely attributable to shared risk factors. Nicotine Tob Res (2020) 22(7):1123–30. doi:10.1093/ntr/ntz157

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Kandel, DB, Yamaguchi, K, and Chen, K. Stages of progression in drug involvement from adolescence to adulthood: Further evidence for the gateway theory. J Stud Alcohol (1992) 53(5):447–57. doi:10.15288/jsa.1992.53.447

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Ambrose, BK, Day, HR, Rostron, B, Conway, KP, Borek, N, Hyland, A, et al. Flavored tobacco product use among US youth aged 12-17 Years, 2013-2014. Jama (2015) 314(17):1871–3. doi:10.1001/jama.2015.13802

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Roditis, ML, and Halpern-Felsher, B. Adolescents' perceptions of risks and benefits of conventional cigarettes, E-cigarettes, and marijuana: A qualitative analysis. J Adolesc Health (2015) 57(2):179–85. doi:10.1016/j.jadohealth.2015.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

34. McRobbie, H, Bullen, C, Hartmann-Boyce, J, and Hajek, P. Electronic cigarettes for smoking cessation and reduction. Cochrane Database Syst Rev (2014) (12) CD010216. doi:10.1002/14651858.CD010216.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Farsalinos, KE, Poulas, K, Voudris, V, and Le Houezec, J. Electronic cigarette use in the European union: Analysis of a representative sample of 27 460 Europeans from 28 countries. Addiction (2016) 111(11):2032–40. doi:10.1111/add.13506

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Kalkhoran, S, and Glantz, SA. E-cigarettes and smoking cessation - authors' reply. Lancet Respir Med (2016) 4(6):e26–7. doi:10.1016/S2213-2600(16)30025-X

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Hartmann-Boyce, J, McRobbie, H, Lindson, N, Bullen, C, Begh, R, Theodoulou, A, et al. Electronic cigarettes for smoking cessation. Cochrane Database Syst Rev (2021) 4(4):CD010216. doi:10.1002/14651858.CD010216.pub6

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Wetzels, JJ, Kremers, SP, Vitoria, PD, and de Vries, H. The alcohol-tobacco relationship: A prospective study among adolescents in six European countries. Addiction (2003) 98(12):1755–63. doi:10.1111/j.1360-0443.2003.00553.x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Kandel, DB, Kiros, GE, Schaffran, C, and Hu, MC. Racial/ethnic differences in cigarette smoking initiation and progression to daily smoking: A multilevel analysis. Am J Public Health (2004) 94(1):128–35. doi:10.2105/ajph.94.1.128

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Harris, JC, Mereish, EH, Faulkner, ML, Assari, S, Choi, K, Leggio, L, et al. Racial differences in the association between alcohol drinking and cigarette smoking: Preliminary findings from an alcohol research program. Alcohol Alcohol (2022) 57(3):330–9. doi:10.1093/alcalc/agab038

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Elders, MJ, Perry, CL, Eriksen, MP, and Giovino, GA. The report of the surgeon general: Preventing tobacco use among young people. Am J Public Health (1994) 84(4):543–7. doi:10.2105/ajph.84.4.543

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Gray, KM, and Squeglia, LM. Research Review: What have we learned about adolescent substance use? J Child Psychol Psychiatry (2018) 59(6):618–27. doi:10.1111/jcpp.12783

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Banerjee, N. Neurotransmitters in alcoholism: A review of neurobiological and genetic studies. Indian J Hum Genet (2014) 20(1):20–31. doi:10.4103/0971-6866.132750

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Lyness, WH, and Smith, FL. Influence of dopaminergic and serotonergic neurons on intravenous ethanol self-administration in the rat. Pharmacol Biochem Behav (1992) 42(1):187–92. doi:10.1016/0091-3057(92)90465-r

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Weiss, F, Lorang, MT, Bloom, FE, and Koob, GF. Oral alcohol self-administration stimulates dopamine release in the rat nucleus accumbens: Genetic and motivational determinants. J Pharmacol Exp Ther (1993) 267(1):250–8.

PubMed Abstract | Google Scholar

46. Di Chiara, G. Alcohol and dopamine. Alcohol Health Res World (1997) 21(2):108–14.

PubMed Abstract | Google Scholar

47. Sullivan, EV, Harris, RA, and Pfefferbaum, A. Alcohol's effects on brain and behavior. Alcohol Res Health (2010) 33(1-2):127–43.

PubMed Abstract | Google Scholar

48. Doyon, WM, Dong, Y, Ostroumov, A, Thomas, AM, Zhang, TA, and Dani, JA. Nicotine decreases ethanol-induced dopamine signaling and increases self-administration via stress hormones. Neuron (2013) 79(3):530–40. doi:10.1016/j.neuron.2013.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Reuter, J, Raedler, T, Rose, M, Hand, I, Glascher, J, and Buchel, C. Pathological gambling is linked to reduced activation of the mesolimbic reward system. Nat Neurosci (2005) 8(2):147–8. doi:10.1038/nn1378

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Zhang, L, Dong, Y, Doyon, WM, and Dani, JA. Withdrawal from chronic nicotine exposure alters dopamine signaling dynamics in the nucleus accumbens. Biol Psychiatry (2012) 71(3):184–91. doi:10.1016/j.biopsych.2011.07.024

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Thrul, J, Gubner, NR, Tice, CL, Lisha, NE, and Ling, PM. Young adults report increased pleasure from using e-cigarettes and smoking tobacco cigarettes when drinking alcohol. Addict behaviors (2019) 93:135–40. doi:10.1016/j.addbeh.2019.01.011

CrossRef Full Text | Google Scholar

52. Lozano, A, Liu, F, Lee, TK, Prado, G, Schwartz, SJ, Leventhal, AM, et al. Bidirectional associations between e-cigarette use and alcohol use across adolescence. Drug Alcohol Depend (2021) 220:108496. doi:10.1016/j.drugalcdep.2020.108496

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Conway, KP, Green, VR, Kasza, KA, Silveira, ML, Borek, N, Kimmel, HL, et al. Co-occurrence of tobacco product use, substance use, and mental health problems among adults: Findings from Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. Drug Alcohol Depend (2017) 177:104–11. doi:10.1016/j.drugalcdep.2017.03.032

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Hershberger, AR, Karyadi, KA, VanderVeen, JD, and Cyders, MA. Combined expectancies of alcohol and e-cigarette use relate to higher alcohol use. Addict Behav (2016) 52:13–21. doi:10.1016/j.addbeh.2015.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Rass, O, Pacek, LR, Johnson, PS, and Johnson, MW. Characterizing use patterns and perceptions of relative harm in dual users of electronic and tobacco cigarettes. Exp Clin Psychopharmacol (2015) 23(6):494–503. doi:10.1037/pha0000050

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Wills, TA, Knight, R, Williams, RJ, Pagano, I, and Sargent, JD. Risk factors for exclusive e-cigarette use and dual e-cigarette use and tobacco use in adolescents. Pediatrics (2015) 135(1):e43–51. doi:10.1542/peds.2014-0760

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Kipping, RR, Campbell, RM, MacArthur, GJ, Gunnell, DJ, and Hickman, M. Multiple risk behaviour in adolescence. J Public Health (Oxf) (2012) 34(1):i1–2. doi:10.1093/pubmed/fdr122

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Schneider, KE, Brighthaupt, SC, Winiker, AK, Johnson, RM, Musci, RJ, and Linton, SL. Characterizing profiles of polysubstance use among high school students in baltimore, Maryland: A latent class analysis. Drug Alcohol Depend (2020) 211:108019. doi:10.1016/j.drugalcdep.2020.108019

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Kann, L, McManus, T, Harris, WA, Shanklin, SL, Flint, KH, Queen, B, et al. Youth risk behavior surveillance - United States, 2017. MMWR Surveill Summ (2018) 67(8):1–114. doi:10.15585/mmwr.ss6708a1

CrossRef Full Text | Google Scholar

60. Kaleta, D, Wojtysiak, P, and Polanska, K. Use of electronic cigarettes among secondary and high school students from a socially disadvantaged rural area in Poland. BMC Public Health (2016) 15:703. doi:10.1186/s12889-016-3417-y

PubMed Abstract | CrossRef Full Text | Google Scholar

61. McCabe, SE, West, BT, Veliz, P, and Boyd, CJ. E-Cigarette use, cigarette smoking, dual use, and problem behaviors among U.S. Adolescents: Results from a national survey. J Adolesc Health (2017) 61(2):155–62. doi:10.1016/j.jadohealth.2017.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Tompkins, LK, Sears, CG, Hart, JL, Walker, KL, Lee, AS, and Bhatnagar, A. If you are old enough to die for your country, you should Be able to get a pinch of snuff": Views of tobacco 21 among appalachian youth. J Appl Res Child (2017) 8(2):2. doi:10.58464/2155-5834.1334

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Lynskey, MT, Heath, AC, Bucholz, KK, Slutske, WS, Madden, PA, Nelson, EC, et al. Escalation of drug use in early-onset cannabis users vs co-twin controls. JAMA (2003) 289(4):427–33. doi:10.1001/jama.289.4.427

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Nkansah-Amankra, S, and Minelli, M. Gateway hypothesis" and early drug use: Additional findings from tracking a population-based sample of adolescents to adulthood. Prev Med Rep (2016) 4:134–41. doi:10.1016/j.pmedr.2016.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Fergusson, DM, Boden, JM, and Horwood, LJ. The developmental antecedents of illicit drug use: Evidence from a 25-year longitudinal study. Drug Alcohol Depend (2008) 96(1-2):165–77. doi:10.1016/j.drugalcdep.2008.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Carroll Chapman, SL, and Wu, LT. E-Cigarette prevalence and correlates of use among adolescents versus adults: A review and comparison. J Psychiatr Res (2014) 54:43–54. doi:10.1016/j.jpsychires.2014.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Gubner, NR, Kozar-Konieczna, A, Szoltysek-Boldys, I, Slodczyk-Mankowska, E, Goniewicz, J, Sobczak, A, et al. Cessation of alcohol consumption decreases rate of nicotine metabolism in male alcohol-dependent smokers. Drug Alcohol Depend (2016) 163:157–64. doi:10.1016/j.drugalcdep.2016.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Lee, HY, Lin, HC, Seo, DC, and Lohrmann, DK. Determinants associated with E-cigarette adoption and use intention among college students. Addict Behav (2017) 65:102–10. doi:10.1016/j.addbeh.2016.10.023

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Reinhold, B, Fischbein, R, Bhamidipalli, SS, Bryant, J, and Kenne, DR. Associations of attitudes towards electronic cigarettes with advertisement exposure and social determinants: A cross sectional study. Tob Induc Dis (2017) 15:13. doi:10.1186/s12971-017-0118-y

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Sutfin, EL, McCoy, TP, Morrell, HE, Hoeppner, BB, and Wolfson, M. Electronic cigarette use by college students. Drug Alcohol Depend (2013) 131(3):214–21. doi:10.1016/j.drugalcdep.2013.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

71. McKee, SA, Falba, T, O'Malley, SS, Sindelar, J, and O'Connor, PG. Smoking status as a clinical indicator for alcohol misuse in US adults. Arch Intern Med (2007) 167(7):716–21. doi:10.1001/archinte.167.7.716

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Verplaetse, TL, and McKee, SA. An overview of alcohol and tobacco/nicotine interactions in the human laboratory. Am J Drug Alcohol Abuse (2017) 43(2):186–96. doi:10.1080/00952990.2016.1189927

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Littlefield, AK, Gottlieb, JC, Cohen, LM, and Trotter, DR. Electronic cigarette use among college students: Links to gender, race/ethnicity, smoking, and heavy drinking. J Am Coll Health (2015) 63(8):523–9. doi:10.1080/07448481.2015.1043130

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Saddleson, ML, Kozlowski, LT, Giovino, GA, Hawk, LW, Murphy, JM, MacLean, MG, et al. Risky behaviors, e-cigarette use and susceptibility of use among college students. Drug Alcohol Depend (2015) 149:25–30. doi:10.1016/j.drugalcdep.2015.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Hefner, KR, Sollazzo, A, Mullaney, S, Coker, KL, and Sofuoglu, M. E-cigarettes, alcohol use, and mental health: Use and perceptions of e-cigarettes among college students, by alcohol use and mental health status. Addict behaviors (2019) 91:12–20. doi:10.1016/j.addbeh.2018.10.040

CrossRef Full Text | Google Scholar

76. Kristjansson, AL, and Sigfusdottir, ID. E-cigarette use and relations to tobacco and alcohol use among adolescents. BMC Med (2015) 13:103. doi:10.1186/s12916-015-0339-y

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Trumbo, CW, and Harper, R. Use and perception of electronic cigarettes among college students. J Am Coll Health (2013) 61(3):149–55. doi:10.1080/07448481.2013.776052

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Keyes, KM, Schulenberg, JE, O'Malley, PM, Johnston, LD, Bachman, JG, Li, G, et al. The social norms of birth cohorts and adolescent marijuana use in the United States, 1976-2007. Addiction (2011) 106(10):1790–800. doi:10.1111/j.1360-0443.2011.03485.x

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Felder, CC, Veluz, JS, Williams, HL, Briley, EM, and Matsuda, LA. Cannabinoid agonists stimulate both receptor- and non-receptor-mediated signal transduction pathways in cells transfected with and expressing cannabinoid receptor clones. Mol Pharmacol (1992) 42(5):838–45.

PubMed Abstract | Google Scholar

80. Wachtel, SR, ElSohly, MA, Ross, SA, Ambre, J, and de Wit, H. Comparison of the subjective effects of Delta(9)-tetrahydrocannabinol and marijuana in humans. Psychopharmacology (Berl) (2002) 161(4):331–9. doi:10.1007/s00213-002-1033-2

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Bloomfield, MA, Ashok, AH, Volkow, ND, and Howes, OD. The effects of Δ9-tetrahydrocannabinol on the dopamine system. Nature (2016) 539(7629):369–77. doi:10.1038/nature20153

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Lynskey, M, and Hall, W. The effects of adolescent cannabis use on educational attainment: A review. Addiction (2000) 95(11):1621–30. doi:10.1046/j.1360-0443.2000.951116213.x

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Merline, AC, O'Malley, PM, Schulenberg, JE, Bachman, JG, and Johnston, LD. Substance use among adults 35 years of age: Prevalence, adulthood predictors, and impact of adolescent substance use. Am J Public Health (2004) 94(1):96–102. doi:10.2105/ajph.94.1.96

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Chatterji, P. Illicit drug use and educational attainment. Health Econ (2006) 15(5):489–511. doi:10.1002/hec.1085

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Lemstra, M, Bennett, NR, Neudorf, C, Kunst, A, Nannapaneni, U, Warren, LM, et al. A meta-analysis of marijuana and alcohol use by socio-economic status in adolescents aged 10-15 years. Can J Public Health (2008) 99(3):172–7. doi:10.1007/BF03405467

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Chen, CY, Storr, CL, and Anthony, JC. Early-onset drug use and risk for drug dependence problems. Addict Behav (2009) 34(3):319–22. doi:10.1016/j.addbeh.2008.10.021

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Jacobus, J, and Tapert, SF. Effects of cannabis on the adolescent brain. Curr Pharm Des (2014) 20(13):2186–93. doi:10.2174/13816128113199990426

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Filbey, FM, McQueeny, T, Kadamangudi, S, Bice, C, and Ketcherside, A. Combined effects of marijuana and nicotine on memory performance and hippocampal volume. Behav Brain Res (2015) 293:46–53. doi:10.1016/j.bbr.2015.07.029

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Paige, KJ, and Colder, CR. Long-term effects of early adolescent marijuana use on attentional and inhibitory control. J Stud Alcohol Drugs (2020) 81(2):164–72. doi:10.15288/jsad.2020.81.164

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Shanahan, L, Steinhoff, A, Bechtiger, L, Copeland, WE, Ribeaud, D, Eisner, M, et al. Frequent teenage cannabis use: Prevalence across adolescence and associations with young adult psychopathology and functional well-being in an urban cohort. Drug Alcohol Depend (2021) 228:109063. doi:10.1016/j.drugalcdep.2021.109063

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Patton, GC, Coffey, C, Lynskey, MT, Reid, S, Hemphill, S, Carlin, JB, et al. Trajectories of adolescent alcohol and cannabis use into young adulthood. Addiction (2007) 102(4):607–15. doi:10.1111/j.1360-0443.2006.01728.x

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Buu, A, Dabrowska, A, Heinze, JE, Hsieh, HF, and Zimmerman, MA. Gender differences in the developmental trajectories of multiple substance use and the effect of nicotine and marijuana use on heavy drinking in a high-risk sample. Addict Behav (2015) 50:6–12. doi:10.1016/j.addbeh.2015.06.015

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Whiteside, LK, Russo, J, Wang, J, Ranney, ML, Neam, V, and Zatzick, DF. Predictors of sustained prescription opioid use after admission for trauma in adolescents. J Adolesc Health (2016) 58(1):92–7. doi:10.1016/j.jadohealth.2015.08.011

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Degenhardt, L, Coffey, C, Carlin, JB, Swift, W, Moore, E, and Patton, GC. Outcomes of occasional cannabis use in adolescence: 10-year follow-up study in victoria, Australia. Br J Psychiatry (2010) 196(4):290–5. doi:10.1192/bjp.bp.108.056952

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Fergusson, DM, Woodward, LJ, and Horwood, LJ. Maternal smoking during pregnancy and psychiatric adjustment in late adolescence. Arch Gen Psychiatry (1998) 55(8):721–7. doi:10.1001/archpsyc.55.8.721

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Krueger, RF, Hicks, BM, Patrick, CJ, Carlson, SR, Iacono, WG, and McGue, M. Etiologic connections among substance dependence, antisocial behavior, and personality: Modeling the externalizing spectrum. J Abnorm Psychol (2002) 111(3):411–24. doi:10.1037/0021-843x.111.3.411

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Pilgrim, CC, Schulenberg, JE, O'Malley, PM, Bachman, JG, and Johnston, LD. Mediators and moderators of parental involvement on substance use: A national study of adolescents. Prev Sci (2006) 7(1):75–89. doi:10.1007/s11121-005-0019-9

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Keyes, MA, Iacono, WG, and McGue, M. Early onset problem behavior, young adult psychopathology, and contextual risk. Twin Res Hum Genet (2007) 10(1):45–53. doi:10.1375/twin.10.1.45

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Burt, SA, Barnes, AR, McGue, M, and Iacono, WG. Parental divorce and adolescent delinquency: Ruling out the impact of common genes. Dev Psychol (2008) 44(6):1668–77. doi:10.1037/a0013477

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Iacono, WG, Malone, SM, and McGue, M. Behavioral disinhibition and the development of early-onset addiction: Common and specific influences. Annu Rev Clin Psychol (2008) 4:325–48. doi:10.1146/annurev.clinpsy.4.022007.141157

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Wang, J, Simons-Morton, BG, Farhat, T, and Luk, JW. Socio-demographic variability in adolescent substance use: Mediation by parents and peers. Prev Sci (2009) 10(4):387–96. doi:10.1007/s11121-009-0141-1

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Bugbee, BA, Beck, KH, Fryer, CS, and Arria, AM. Substance use, academic performance, and academic engagement among high school seniors. J Sch Health (2019) 89(2):145–56. doi:10.1111/josh.12723

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Burggren, AC, Shirazi, A, Ginder, N, and London, ED. Cannabis effects on brain structure, function, and cognition: Considerations for medical uses of cannabis and its derivatives. Am J Drug Alcohol Abuse (2019) 45(6):563–79. doi:10.1080/00952990.2019.1634086

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Lupica, CR, Riegel, AC, and Hoffman, AF. Marijuana and cannabinoid regulation of brain reward circuits. Br J Pharmacol (2004) 143(2):227–34. doi:10.1038/sj.bjp.0705931

PubMed Abstract | CrossRef Full Text | Google Scholar

105. French, ED, Dillon, K, and Wu, X. Cannabinoids excite dopamine neurons in the ventral tegmentum and substantia nigra. Neuroreport (1997) 8(3):649–52. doi:10.1097/00001756-199702100-00014

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Wise, RA. Addictive drugs and brain stimulation reward. Annu Rev Neurosci (1996) 19:319–40. doi:10.1146/annurev.ne.19.030196.001535

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Hoffman, AF, and Lupica, CR. Direct actions of cannabinoids on synaptic transmission in the nucleus accumbens: A comparison with opioids. J Neurophysiol (2001) 85(1):72–83. doi:10.1152/jn.2001.85.1.72

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Manzoni, OJ, and Bockaert, J. Cannabinoids inhibit GABAergic synaptic transmission in mice nucleus accumbens. Eur J Pharmacol (2001) 412(2):R3–5. doi:10.1016/s0014-2999(01)00723-3

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Robbe, D, Alonso, G, Duchamp, F, Bockaert, J, and Manzoni, OJ. Localization and mechanisms of action of cannabinoid receptors at the glutamatergic synapses of the mouse nucleus accumbens. J Neurosci (2001) 21(1):109–16. doi:10.1523/JNEUROSCI.21-01-00109.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Hernandez Mejia, M, Wade, NE, Baca, R, Diaz, VG, and Jacobus, J. The influence of cannabis and nicotine Co-use on neuromaturation: A systematic review of adolescent and young adult studies. Biol Psychiatry (2021) 89(2):162–71. doi:10.1016/j.biopsych.2020.09.021

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Schuster, RM, Crane, NA, Mermelstein, R, and Gonzalez, R. Tobacco may mask poorer episodic memory among young adult cannabis users. Neuropsychology (2015) 29(5):759–66. doi:10.1037/neu0000173

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Hindocha, C, Freeman, TP, Xia, JX, Shaban, NDC, and Curran, HV. Acute memory and psychotomimetic effects of cannabis and tobacco both 'joint' and individually: A placebo-controlled trial. Psychol Med (2017) 47(15):2708–19. doi:10.1017/S0033291717001222

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Liu, JJ, Mohila, CA, Gong, Y, Govindarajan, N, and Onn, SP. Chronic nicotine exposure during adolescence differentially influences calcium-binding proteins in rat anterior cingulate cortex. Eur J Neurosci (2005) 22(10):2462–74. doi:10.1111/j.1460-9568.2005.04423.x

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Garrido, R, King-Pospisil, K, Son, KW, Hennig, B, and Toborek, M. Nicotine upregulates nerve growth factor expression and prevents apoptosis of cultured spinal cord neurons. Neurosci Res (2003) 47(3):349–55. doi:10.1016/s0168-0102(03)00222-0

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Ramo, DE, Liu, H, and Prochaska, JJ. Tobacco and marijuana use among adolescents and young adults: A systematic review of their co-use. Clin Psychol Rev (2012) 32(2):105–21. doi:10.1016/j.cpr.2011.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Hublet, A, Bendtsen, P, de Looze, ME, Fotiou, A, Donnelly, P, Vilhjalmsson, R, et al. Trends in the co-occurrence of tobacco and cannabis use in 15-year-olds from 2002 to 2010 in 28 countries of Europe and North America. Eur J Public Health (2015) 25(2):73–5. doi:10.1093/eurpub/ckv032

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Keyes, KM, Wall, M, Feng, T, Cerda, M, and Hasin, DS. Race/ethnicity and marijuana use in the United States: Diminishing differences in the prevalence of use, 2006-2015. Drug Alcohol Depend (2017) 179:379–86. doi:10.1016/j.drugalcdep.2017.07.027

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Palamar, JJ. An examination of opinions toward marijuana policies among high school seniors in the United States. J Psychoactive Drugs (2014) 46(5):351–61. doi:10.1080/02791072.2014.962716

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Jacobs, W, Idoko, E, Montgomery, L, Smith, ML, and Merianos, AL. Concurrent E-cigarette and marijuana use and health-risk behaviors among U.S. high school students. Prev Med (2021) 145:106429. doi:10.1016/j.ypmed.2021.106429

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Kristjansson, AL, Mann, MJ, and Sigfusdottir, ID. Licit and illicit substance use by adolescent E-cigarette users compared with conventional cigarette smokers, dual users, and nonusers. J Adolesc Health (2015) 57(5):562–4. doi:10.1016/j.jadohealth.2015.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Westling, E, Rusby, JC, Crowley, R, and Light, JM. Electronic cigarette use by youth: Prevalence, correlates, and use trajectories from middle to high school. J Adolesc Health (2017) 60(6):660–6. doi:10.1016/j.jadohealth.2016.12.019

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Merianos, AL, Jandarov, RA, Klein, JD, and Mahabee-Gittens, EM. Characteristics of daily E-cigarette use and acquisition means among a national sample of adolescents. Am J Health Promot (2019) 33(8):1115–22. doi:10.1177/0890117119854051

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Morean, ME, Kong, G, Camenga, DR, Cavallo, DA, and Krishnan-Sarin, S. High school students' use of electronic cigarettes to vaporize cannabis. Pediatrics (2015) 136(4):611–6. doi:10.1542/peds.2015-1727

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Giroud, C, de Cesare, M, Berthet, A, Varlet, V, Concha-Lozano, N, and E-Cigarettes, FB. E-Cigarettes: A review of new trends in cannabis use. Int J Environ Res Public Health (2015) 12(8):9988–10008. doi:10.3390/ijerph120809988

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Miech, RA, O'Malley, PM, Johnston, LD, and Patrick, ME. E-cigarettes and the drug use patterns of adolescents. Nicotine Tob Res (2016) 18(5):654–9. doi:10.1093/ntr/ntv217

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Audrain-McGovern, J, Stone, MD, Barrington-Trimis, J, Unger, JB, and Leventhal, AM. Adolescent E-cigarette, hookah, and conventional cigarette use and subsequent marijuana use. Pediatrics (2018) 142(3):e20173616. doi:10.1542/peds.2017-3616

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Lanza, HI, Barrington-Trimis, JL, McConnell, R, Cho, J, Braymiller, JL, Krueger, EA, et al. Trajectories of nicotine and cannabis vaping and polyuse from adolescence to young adulthood. JAMA Netw Open (2020) 3(10):e2019181. doi:10.1001/jamanetworkopen.2020.19181

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Cohn, AM, Johnson, AL, Rose, SW, Pearson, JL, Villanti, AC, and Stanton, C. Population-level patterns and mental health and substance use correlates of alcohol, marijuana, and tobacco use and co-use in US young adults and adults: Results from the population assessment for tobacco and health. Am J Addict (2018) 27(6):491–500. doi:10.1111/ajad.12766

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Pearson, JL, and Villanti, AC. It is past time to consider cannabis in vaping research. Nicotine Tob Res (2020) 22(5):597–8. doi:10.1093/ntr/ntaa012

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Buckner, JD, Morris, PE, and Zvolensky, MJ. Cannabis use and electronic cigarette use: The role of dual use on use frequency and related problems. Psychiatry Res (2021) 304:114126. doi:10.1016/j.psychres.2021.114126

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Adhikari, R, Koritala, T, Gotur, R, Malayala, SV, and Jain, NK. Evali - E-cigarette or vaping product use-associated lung injury: A case report. Cureus (2021) 13(2):e13541. doi:10.7759/cureus.13541

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Duffy, B, Li, L, Lu, S, Durocher, L, Dittmar, M, Delaney-Baldwin, E, et al. Analysis of cannabinoid-containing fluids in illicit vaping cartridges recovered from pulmonary injury patients: Identification of vitamin E acetate as a major diluent. Toxics (2020) 8(1):8. doi:10.3390/toxics8010008

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Hall, W, Gartner, C, and Bonevski, B. Lessons from the public health responses to the US outbreak of vaping-related lung injury. Addiction (2021) 116(5):985–93. doi:10.1111/add.15108

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Meier, E, and Hatsukami, DK. A review of the additive health risk of cannabis and tobacco co-use. Drug Alcohol Depend (2016) 166:6–12. doi:10.1016/j.drugalcdep.2016.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Galstyan, E, Galimov, A, Meza, L, Huh, J, Berg, CJ, Unger, JB, et al. An assessment of vape shop products in California before and after implementation of FDA and state regulations. Int J Environ Res Public Health (2022) 19(23):15827. doi:10.3390/ijerph192315827

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Johnson-Arbor, K, and Smolinske, S. The current state of delta-8 THC. Am J Emerg Med (2022) 56:259–61. doi:10.1016/j.ajem.2021.06.066

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Leas, EC, Nobles, AL, Shi, Y, and Hendrickson, E. Public interest in ∆(8)-Tetrahydrocannabinol (delta-8-THC) increased in US states that restricted ∆(9)-Tetrahydrocannabinol (delta-9-THC) use. Int J Drug Pol (2022) 101:103557. doi:10.1016/j.drugpo.2021.103557

CrossRef Full Text | Google Scholar

138. Berg, CJ, Stratton, E, Schauer, GL, Lewis, M, Wang, Y, Windle, M, et al. Perceived harm, addictiveness, and social acceptability of tobacco products and marijuana among young adults: Marijuana, hookah, and electronic cigarettes win. Subst Use Misuse (2015) 50(1):79–89. doi:10.3109/10826084.2014.958857

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Meehan-Atrash, J, and Rahman, I. Novel Δ8-tetrahydrocannabinol vaporizers contain unlabeled adulterants, unintended byproducts of chemical synthesis, and heavy metals. Chem Res Toxicol (2022) 35(1):73–6. doi:10.1021/acs.chemrestox.1c00388

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Strang, J, Babor, T, Caulkins, J, Fischer, B, Foxcroft, D, and Humphreys, K. Drug policy and the public good: Evidence for effective interventions. Lancet (2012) 379(9810):71–83. doi:10.1016/S0140-6736(11)61674-7

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Degenhardt, L, and Hall, W. Extent of illicit drug use and dependence, and their contribution to the global burden of disease. Lancet (2012) 379(9810):55–70. doi:10.1016/S0140-6736(11)61138-0

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Besaratinia, A, and Tommasi, S. An opportune and unique research to evaluate the public health impact of electronic cigarettes. Cancer Causes Control (2017) 28(10):1167–71. doi:10.1007/s10552-017-0952-5

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Eggers, ME, Lee, YO, Jackson, K, Wiley, JL, Porter, L, and Nonnemaker, JM. Youth use of electronic vapor products and blunts for administering cannabis. Addict Behav (2017) 70:79–82. doi:10.1016/j.addbeh.2017.02.020

PubMed Abstract | CrossRef Full Text | Google Scholar

144. de Lacy, E, Fletcher, A, Hewitt, G, Murphy, S, and Moore, G. Cross-sectional study examining the prevalence, correlates and sequencing of electronic cigarette and tobacco use among 11-16-year olds in schools in Wales. BMJ Open (2017) 7(2):e012784. doi:10.1136/bmjopen-2016-012784

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Rom, O, Pecorelli, A, Valacchi, G, and Reznick, AZ. Are E-cigarettes a safe and good alternative to cigarette smoking? Ann N Y Acad Sci (2015) 1340:65–74. doi:10.1111/nyas.12609

PubMed Abstract | CrossRef Full Text | Google Scholar

146. Dawkins, L, Kimber, C, Puwanesarasa, Y, and Soar, K. First-versus second-generation electronic cigarettes: Predictors of choice and effects on urge to smoke and withdrawal symptoms. Addiction (2015) 110(4):669–77. doi:10.1111/add.12807

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Rankin, GD, Wingfors, H, Uski, O, Hedman, L, Ekstrand-Hammarstrom, B, Bosson, J, et al. The toxic potential of a fourth-generation E-cigarette on human lung cell lines and tissue explants. J Appl Toxicol (2019) 39(8):1143–54. doi:10.1002/jat.3799

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Schroeder, MJ, and Hoffman, AC. Electronic cigarettes and nicotine clinical pharmacology. Tob Control (2014) 23(2):ii30–5. doi:10.1136/tobaccocontrol-2013-051469

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Bell, S, and Nida, C. Pyrolysis of drugs of abuse: A comprehensive review. Drug Test Anal (2015) 7(6):445–56. doi:10.1002/dta.1794

PubMed Abstract | CrossRef Full Text | Google Scholar

150. Thiel, UJ, Feltens, R, Adryan, B, Gieringer, R, Brochhausen, C, Schuon, R, et al. Analysis of differentially expressed proteins in oral squamous cell carcinoma by MALDI-TOF MS. J Oral Pathol Med (2011) 40(5):369–79. doi:10.1111/j.1600-0714.2010.00982.x

PubMed Abstract | CrossRef Full Text | Google Scholar

151. Gieringer, RE. Arthroscopic monopolar radiofrequency thermal capsulorrhaphy for the treatment of shoulder instability: A prospective outcome study with mean 2-year follow-up. Alsk Med (2003) 45(1):3–8. doi:10.1016/S0749-8063(07)60043-7

CrossRef Full Text | Google Scholar

152. Abrams, DI, Vizoso, HP, Shade, SB, Jay, C, Kelly, ME, and Benowitz, NL. Vaporization as a smokeless cannabis delivery system: A pilot study. Clin Pharmacol Ther (2007) 82(5):572–8. doi:10.1038/sj.clpt.6100200

PubMed Abstract | CrossRef Full Text | Google Scholar

153. Breitbarth, AK, Morgan, J, and Jones, AL. E-cigarettes-An unintended illicit drug delivery system. Drug Alcohol Depend (2018) 192:98–111. doi:10.1016/j.drugalcdep.2018.07.031

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Green, AR, King, MV, Shortall, SE, and Fone, KC. Lost in translation: Preclinical studies on 3,4-methylenedioxymethamphetamine provide information on mechanisms of action, but do not allow accurate prediction of adverse events in humans. Br J Pharmacol (2012) 166(5):1523–36. doi:10.1111/j.1476-5381.2011.01819.x

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Rothman, RB, Baumann, MH, Dersch, CM, Romero, DV, Rice, KC, Carroll, FI, et al. Amphetamine-type central nervous system stimulants release norepinephrine more potently than they release dopamine and serotonin. Synapse (2001) 39(1):32–41. doi:10.1002/1098-2396(20010101)39:1<32:AID-SYN5>3.0.CO;2-3

PubMed Abstract | CrossRef Full Text | Google Scholar

156. de la Torre, R, Farre, M, Roset, PN, Pizarro, N, Abanades, S, Segura, M, et al. Human pharmacology of MDMA: Pharmacokinetics, metabolism, and disposition. Ther Drug Monit (2004) 26(2):137–44. doi:10.1097/00007691-200404000-00009

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Sitte, HH, and Freissmuth, M. The reverse operation of Na+Cl- coupled neurotransmitter transporters-why amphetamines take two to tango. J Neurochem (2010) 112(2):340–55. doi:10.1111/j.1471-4159.2009.06474.x

PubMed Abstract | CrossRef Full Text | Google Scholar

158. Steinkellner, T, Freissmuth, M, Sitte, HH, and Montgomery, T. The ugly side of amphetamines: Short- and long-term toxicity of 3,4-methylenedioxymethamphetamine (MDMA, 'ecstasy'), methamphetamine and D-amphetamine. Biol Chem (2011) 392(1-2):103–15. doi:10.1515/BC.2011.016

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Mounteney, J, Griffiths, P, Sedefov, R, Noor, A, Vicente, J, and Simon, R. The drug situation in europe: An overview of data available on illicit drugs and new psychoactive substances from European monitoring in 2015. Addiction (2016) 111(1):34–48. doi:10.1111/add.13056

PubMed Abstract | CrossRef Full Text | Google Scholar

160. Blundell, M, Dargan, P, and Wood, D. A cloud on the horizon-a survey into the use of electronic vaping devices for recreational drug and new psychoactive substance (NPS) administration. QJM (2018) 111(1):9–14. doi:10.1093/qjmed/hcx178

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Ellefsen, KN, Concheiro, M, and Huestis, MA. Synthetic cathinone pharmacokinetics, analytical methods, and toxicological findings from human performance and postmortem cases. Drug Metab Rev (2016) 48(2):237–65. doi:10.1080/03602532.2016.1188937

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Anizan, S, Concheiro, M, Lehner, KR, Bukhari, MO, Suzuki, M, Rice, KC, et al. Linear pharmacokinetics of 3,4-methylenedioxypyrovalerone (MDPV) and its metabolites in the rat: Relationship to pharmacodynamic effects. Addict Biol (2016) 21(2):339–47. doi:10.1111/adb.12201

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Abbott, R, and Smith, DE. The new designer drug wave: A clinical, toxicological, and legal analysis. J Psychoactive Drugs (2015) 47(5):368–71. doi:10.1080/02791072.2015.1094591

PubMed Abstract | CrossRef Full Text | Google Scholar

164. Karila, L, Megarbane, B, Cottencin, O, and Lejoyeux, M. Synthetic cathinones: A new public health problem. Curr Neuropharmacol (2015) 13(1):12–20. doi:10.2174/1570159X13666141210224137

PubMed Abstract | CrossRef Full Text | Google Scholar

165. Backberg, M, Lindeman, E, Beck, O, and Helander, A. Characteristics of analytically confirmed 3-MMC-related intoxications from the Swedish STRIDA project. Clin Toxicol (Phila) (2015) 53(1):46–53. doi:10.3109/15563650.2014.981823

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Matsunaga, T, Morikawa, Y, Kamata, K, Shibata, A, Miyazono, H, Sasajima, Y, et al. α-Pyrrolidinononanophenone provokes apoptosis of neuronal cells through alterations in antioxidant properties. Toxicology (2017) 386:93–102. doi:10.1016/j.tox.2017.05.017

PubMed Abstract | CrossRef Full Text | Google Scholar

167. Scheidweiler, KB, Plessinger, MA, Shojaie, J, Wood, RW, and Kwong, TC. Pharmacokinetics and pharmacodynamics of methylecgonidine, a crack cocaine pyrolyzate. J Pharmacol Exp Ther (2003) 307(3):1179–87. doi:10.1124/jpet.103.055434

PubMed Abstract | CrossRef Full Text | Google Scholar

168. Kavanagh, P, O'Brien, J, Power, JD, Talbot, B, and McDermott, SD. 'Smoking' mephedrone: The identification of the pyrolysis products of 4-methylmethcathinone hydrochloride. Drug Test Anal (2013) 5(5):291–305. doi:10.1002/dta.1373

PubMed Abstract | CrossRef Full Text | Google Scholar

169. Sato, M, Hida, M, and Nagase, H. Analysis of pyrolysis products of methamphetamine. J Anal Toxicol (2004) 28(8):638–43. doi:10.1093/jat/28.8.638

PubMed Abstract | CrossRef Full Text | Google Scholar

170. Kandel, D, and Kandel, E. The gateway hypothesis of substance abuse: Developmental, biological and societal perspectives. Acta Paediatr (2015) 104(2):130–7. doi:10.1111/apa.12851

PubMed Abstract | CrossRef Full Text | Google Scholar

171. Marusich, JA, Lefever, TW, Blough, BE, Thomas, BF, and Wiley, JL. Pharmacological effects of methamphetamine and alpha-PVP vapor and injection. Neurotoxicology (2016) 55:83–91. doi:10.1016/j.neuro.2016.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

172. Luethi, D, Kolaczynska, KE, Docci, L, Krahenbuhl, S, Hoener, MC, and Liechti, ME. Pharmacological profile of mephedrone analogs and related new psychoactive substances. Neuropharmacology (2018) 134:4–12. doi:10.1016/j.neuropharm.2017.07.026

PubMed Abstract | CrossRef Full Text | Google Scholar

173. Busardo, FP, Kyriakou, C, Napoletano, S, Marinelli, E, and Zaami, S. Mephedrone related fatalities: A review. Eur Rev Med Pharmacol Sci (2015) 19(19):3777–90.

PubMed Abstract | Google Scholar

174. Papaseit, E, Molto, J, Muga, R, Torrens, M, de la Torre, R, and Farre, M. Clinical pharmacology of the synthetic cathinone mephedrone. Curr Top Behav Neurosci (2017) 32:313–31. doi:10.1007/7854_2016_61

PubMed Abstract | CrossRef Full Text | Google Scholar

175. Solis, E. Electrophysiological actions of synthetic cathinones on monoamine transporters. Curr Top Behav Neurosci (2017) 32:73–92. doi:10.1007/7854_2016_39

PubMed Abstract | CrossRef Full Text | Google Scholar

176. Valsalan, R, Varghese, B, Soman, D, Buckmaster, J, Yew, S, and Cooper, D. Multi-organ dysfunction due to bath salts: Are we aware of this entity? Intern Med J (2017) 47(1):109–11. doi:10.1111/imj.13307

PubMed Abstract | CrossRef Full Text | Google Scholar

177. Schifano, F, Orsolini, L, Papanti, D, and Corkery, J. NPS: Medical consequences associated with their intake. Curr Top Behav Neurosci (2017) 32:351–80. doi:10.1007/7854_2016_15

PubMed Abstract | CrossRef Full Text | Google Scholar

178. Favrod-Coune, T, and Broers, B. The health effect of psychostimulants: A literature review. Pharmaceuticals (Basel) (2010) 3(7):2333–61. doi:10.3390/ph3072333

PubMed Abstract | CrossRef Full Text | Google Scholar

179. Howell, LL, and Kimmel, HL. Monoamine transporters and psychostimulant addiction. Biochem Pharmacol (2008) 75(1):196–217. doi:10.1016/j.bcp.2007.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

180. Mehta, MC, Jain, AC, and Billie, MD. Combined effects of cocaine and nicotine on cardiovascular performance in a canine model. Clin Cardiol (2001) 24(9):620–6. doi:10.1002/clc.4960240910

PubMed Abstract | CrossRef Full Text | Google Scholar

181. Magnano, AR, Talathoti, NB, Hallur, R, Jurus, DT, Dizon, J, Holleran, S, et al. Effect of acute cocaine administration on the QTc interval of habitual users. Am J Cardiol (2006) 97(8):1244–6. doi:10.1016/j.amjcard.2005.11.046

PubMed Abstract | CrossRef Full Text | Google Scholar

182. Garcia, RC, Dati, LM, Fukuda, S, Torres, LH, Moura, S, de Carvalho, ND, et al. Neurotoxicity of anhydroecgonine methyl ester, a crack cocaine pyrolysis product. Toxicol Sci (2012) 128(1):223–34. doi:10.1093/toxsci/kfs140

PubMed Abstract | CrossRef Full Text | Google Scholar

183. Richards, JR, and Le, JK. Cocaine toxicity. Treasure Island (FL): StatPearls (2022).

Google Scholar

184. Heard, K, Palmer, R, and Zahniser, NR. Mechanisms of acute cocaine toxicity. Open Pharmacol J (2008) 2(9):70–8. doi:10.2174/1874143600802010070

PubMed Abstract | CrossRef Full Text | Google Scholar

185. Brownlow, HA, and Pappachan, J. Pathophysiology of cocaine abuse. Eur J Anaesthesiol (2002) 19(6):395–414. doi:10.1017/s0265021502000650

PubMed Abstract | CrossRef Full Text | Google Scholar

186. Kandel, ER, and Kandel, DB. Shattuck Lecture. A molecular basis for nicotine as a gateway drug. New Engl J Med (2014) 371(10):932–43. doi:10.1056/NEJMsa1405092

PubMed Abstract | CrossRef Full Text | Google Scholar

187. Kouri, EM, Stull, M, and Lukas, SE. Nicotine alters some of cocaine's subjective effects in the absence of physiological or pharmacokinetic changes. Pharmacol Biochem Behav (2001) 69(1-2):209–17. doi:10.1016/s0091-3057(01)00529-9

PubMed Abstract | CrossRef Full Text | Google Scholar

188. Leslie, FM. Unique, long-term effects of nicotine on adolescent brain. Pharmacol Biochem Behav (2020) 197:173010. doi:10.1016/j.pbb.2020.173010

PubMed Abstract | CrossRef Full Text | Google Scholar

189. Alajaji, M, Lazenka, MF, Kota, D, Wise, LE, Younis, RM, Carroll, FI, et al. Early adolescent nicotine exposure affects later-life cocaine reward in mice. Neuropharmacology (2016) 105:308–17. doi:10.1016/j.neuropharm.2016.01.032

PubMed Abstract | CrossRef Full Text | Google Scholar

190. Kota, D, Alajaji, M, Bagdas, D, Selley, DE, Sim-Selley, LJ, and Damaj, MI. Early adolescent nicotine exposure affects later-life hippocampal mu-opioid receptors activity and morphine reward but not physical dependence in male mice. Pharmacol Biochem Behav (2018) 173:58–64. doi:10.1016/j.pbb.2018.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

191. Cadoni, C, De Felice, M, Corongiu, S, Dessi, C, Espa, E, Melis, M, et al. Role of genetic background in the effects of adolescent nicotine exposure on mesolimbic dopamine transmission. Addict Biol (2020) 25(5):e12803. doi:10.1111/adb.12803

PubMed Abstract | CrossRef Full Text | Google Scholar

192. Reed, SC, and Izenwasser, S. Nicotine produces long-term increases in cocaine reinforcement in adolescent but not adult rats. Brain Res (2017) 1654:165–70. doi:10.1016/j.brainres.2016.07.044

PubMed Abstract | CrossRef Full Text | Google Scholar

193. Singh, PK, and Lutfy, K. Nicotine pretreatment reduced cocaine-induced CPP and its reinstatement in a sex- and dose-related manner in adult C57BL/6J mice. Pharmacol Biochem Behav (2017) 159:84–9. doi:10.1016/j.pbb.2017.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

194. Henningfield, JE, Clayton, R, and Pollin, W. Involvement of tobacco in alcoholism and illicit drug use. Br J Addict (1990) 85(2):279–91. doi:10.1111/j.1360-0443.1990.tb03084.x

PubMed Abstract | CrossRef Full Text | Google Scholar

195. Kalman, D, Morissette, SB, and George, TP. Co-morbidity of smoking in patients with psychiatric and substance use disorders. Am J Addict (2005) 14(2):106–23. doi:10.1080/10550490590924728

PubMed Abstract | CrossRef Full Text | Google Scholar

196. Weinberger, AH, and Sofuoglu, M. The impact of cigarette smoking on stimulant addiction. Am J Drug Alcohol Abuse (2009) 35(1):12–7. doi:10.1080/00952990802326280

PubMed Abstract | CrossRef Full Text | Google Scholar

197. Sigmon, SC, Tidey, JW, Badger, GJ, and Higgins, ST. Acute effects of D-amphetamine on progressive-ratio performance maintained by cigarette smoking and money. Psychopharmacology (Berl) (2003) 167(4):393–402. doi:10.1007/s00213-003-1416-z

PubMed Abstract | CrossRef Full Text | Google Scholar

198. Wooters, TE, Neugebauer, NM, Rush, CR, and Bardo, MT. Methylphenidate enhances the abuse-related behavioral effects of nicotine in rats: Intravenous self-administration, drug discrimination, and locomotor cross-sensitization. Neuropsychopharmacology (2008) 33(5):1137–48. doi:10.1038/sj.npp.1301477

PubMed Abstract | CrossRef Full Text | Google Scholar

199. Garza, RD, and Johanson, CE. The discriminative stimulus properties of cocaine in the rhesus monkey. Pharmacol Biochem Behav (1983) 19(1):145–8. doi:10.1016/0091-3057(83)90323-4

PubMed Abstract | CrossRef Full Text | Google Scholar

200. Takada, K, Hagen, TJ, Cook, JM, Goldberg, SR, and Katz, JL. Discriminative stimulus effects of intravenous nicotine in squirrel monkeys. Pharmacol Biochem Behav (1988) 30(1):243–7. doi:10.1016/0091-3057(88)90452-2

PubMed Abstract | CrossRef Full Text | Google Scholar

201. Desai, RI, Barber, DJ, and Terry, P. Asymmetric generalization between the discriminative stimulus effects of nicotine and cocaine. Behav Pharmacol (1999) 10(6-7):647–56. doi:10.1097/00008877-199911000-00011

PubMed Abstract | CrossRef Full Text | Google Scholar

202. Gould, RW, Czoty, PW, Nader, SH, and Nader, MA. Effects of varenicline on the reinforcing and discriminative stimulus effects of cocaine in rhesus monkeys. J Pharmacol Exp Ther (2011) 339(2):678–86. doi:10.1124/jpet.111.185538

PubMed Abstract | CrossRef Full Text | Google Scholar

203. Mello, NK, and Newman, JL. Discriminative and reinforcing stimulus effects of nicotine, cocaine, and cocaine + nicotine combinations in rhesus monkeys. Exp Clin Psychopharmacol (2011) 19(3):203–14. doi:10.1037/a0023373

PubMed Abstract | CrossRef Full Text | Google Scholar

204. McQuown, SC, Dao, JM, Belluzzi, JD, and Leslie, FM. Age-dependent effects of low-dose nicotine treatment on cocaine-induced behavioral plasticity in rats. Psychopharmacology (Berl) (2009) 207(1):143–52. doi:10.1007/s00213-009-1642-0

PubMed Abstract | CrossRef Full Text | Google Scholar

205. Roll, JM, Higgins, ST, Budney, AJ, Bickel, WK, and Badger, GJ. A comparison of cocaine-dependent cigarette smokers and non-smokers on demographic, drug use and other characteristics. Drug Alcohol Depend (1996) 40(3):195–201. doi:10.1016/0376-8716(96)01219-7

PubMed Abstract | CrossRef Full Text | Google Scholar

206. Reid, MS, Mickalian, JD, Delucchi, KL, Hall, SM, and Berger, SP. An acute dose of nicotine enhances cue-induced cocaine craving. Drug Alcohol Depend (1998) 49(2):95–104. doi:10.1016/s0376-8716(97)00144-0

PubMed Abstract | CrossRef Full Text | Google Scholar

207. Jones, HE, Garrett, BE, and Griffiths, RR. Subjective and physiological effects of intravenous nicotine and cocaine in cigarette smoking cocaine abusers. J Pharmacol Exp Ther (1999) 288(1):188–97.

PubMed Abstract | Google Scholar

208. Brewer, AJ, Mahoney, JJ, Nerumalla, CS, Newton, TF, and De La Garza, R. The influence of smoking cigarettes on the high and desire for cocaine among active cocaine users. Pharmacol Biochem Behav (2013) 106:132–6. doi:10.1016/j.pbb.2013.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

209. Koe, BK. Molecular geometry of inhibitors of the uptake of catecholamines and serotonin in synaptosomal preparations of rat brain. J Pharmacol Exp Ther (1976) 199(3):649–61.

PubMed Abstract | Google Scholar

210. Ritz, MC, Lamb, RJ, Goldberg, SR, and Kuhar, MJ. Cocaine receptors on dopamine transporters are related to self-administration of cocaine. Science (1987) 237(4819):1219–23. doi:10.1126/science.2820058

PubMed Abstract | CrossRef Full Text | Google Scholar

211. Di Chiara, G, and Imperato, A. Drugs abused by humans preferentially increase synaptic dopamine concentrations in the mesolimbic system of freely moving rats. Proc Natl Acad Sci U S A (1988) 85(14):5274–8. doi:10.1073/pnas.85.14.5274

PubMed Abstract | CrossRef Full Text | Google Scholar

212. Bergman, J, Madras, BK, Johnson, SE, and Spealman, RD. Effects of cocaine and related drugs in nonhuman primates. III. Self-administration by squirrel monkeys. J Pharmacol Exp Ther (1989) 251(1):150–5.

PubMed Abstract | Google Scholar

213. Corrigall, WA. Understanding brain mechanisms in nicotine reinforcement. Br J Addict (1991) 86(5):507–10. doi:10.1111/j.1360-0443.1991.tb01798.x

PubMed Abstract | CrossRef Full Text | Google Scholar

214. Zernig, G, O'Laughlin, IA, and Fibiger, HC. Nicotine and heroin augment cocaine-induced dopamine overflow in nucleus accumbens. Eur J Pharmacol (1997) 337(1):1–10. doi:10.1016/s0014-2999(97)01184-9

PubMed Abstract | CrossRef Full Text | Google Scholar

215. Silva, CP, Maggs, JL, Kelly, BC, Vuolo, M, and Staff, J. Associations between E-cigarettes and subsequent cocaine use in adolescence: An analysis of the UK millennium cohort study. Nicotine Tob Res (2023) 25(3):514–23. doi:10.1093/ntr/ntac219

PubMed Abstract | CrossRef Full Text | Google Scholar

216. McQuown, SC, Belluzzi, JD, and Leslie, FM. Low dose nicotine treatment during early adolescence increases subsequent cocaine reward. Neurotoxicology and teratology (2007) 29(1):66–73. doi:10.1016/j.ntt.2006.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

217. Akbarialiabad, H, Dalfardi, B, and Bastani, B. The double-edged sword of the dark web: Its implications for medicine and society. J Gen Intern Med (2020) 35(11):3346–7. doi:10.1007/s11606-020-05911-1

PubMed Abstract | CrossRef Full Text | Google Scholar

218. Hatsukami, DK, and Fischman, MW. Crack cocaine and cocaine hydrochloride. Are the differences myth or reality? JAMA (1996) 276(19):1580–8. doi:10.1001/jama.276.19.1580

PubMed Abstract | CrossRef Full Text | Google Scholar

219. Ihongbe, TO, and Masho, SW. Prevalence, correlates and patterns of heroin use among young adults in the United States. Addict Behav (2016) 63:74–81. doi:10.1016/j.addbeh.2016.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

220. Rook, EJ, van Ree, JM, van den Brink, W, Hillebrand, MJ, Huitema, AD, Hendriks, VM, et al. Pharmacokinetics and pharmacodynamics of high doses of pharmaceutically prepared heroin, by intravenous or by inhalation route in opioid-dependent patients. Basic Clin Pharmacol Toxicol (2006) 98(1):86–96. doi:10.1111/j.1742-7843.2006.pto_233.x

PubMed Abstract | CrossRef Full Text | Google Scholar

221.Centers for disease control and prevention. Heroin overdose data (2022). Available from: https://www.cdc.gov/drugoverdose/deaths/heroin/index.html (Accessed May 16, 2023).

Google Scholar

222. Selley, DE, Cao, CC, Sexton, T, Schwegel, JA, Martin, TJ, and Childers, SR. Mu Opioid receptor-mediated G-protein activation by heroin metabolites: evidence for greater efficacy of 6-monoacetylmorphine compared with morphine. Biochem Pharmacol (2001) 62(4):447–55. doi:10.1016/s0006-2952(01)00689-x

PubMed Abstract | CrossRef Full Text | Google Scholar

223. Cordova, JP, Balan, S, Romero, J, Korniyenko, A, Alviar, CL, Paniz-Mondolfi, A, et al. 'Chasing the dragon': New knowledge for an old practice. Am J Ther (2014) 21(1):52–5. doi:10.1097/MJT.0b013e31820b8856

PubMed Abstract | CrossRef Full Text | Google Scholar

224. Eyupoglu, S, Eyupoglu, D, Kendi-Celebi, Z, Akturk, S, Tuzuner, A, Keven, K, et al. Risk factors of hyperuricemia after renal transplantation and its long-term effects on graft functions. Transpl Proc (2017) 49(3):505–8. doi:10.1016/j.transproceed.2017.01.006

CrossRef Full Text | Google Scholar

225. Claxton, AR, McGuire, G, Chung, F, and Cruise, C. Evaluation of morphine versus fentanyl for postoperative analgesia after ambulatory surgical procedures. Anesth Analg (1997) 84(3):509–14. doi:10.1097/00000539-199703000-00008

PubMed Abstract | CrossRef Full Text | Google Scholar

226. Park, JN, Schneider, KE, Fowler, D, Sherman, SG, Mojtabai, R, and Nestadt, PS. Polysubstance overdose deaths in the fentanyl era: A latent class analysis. J Addict Med (2022) 16(1):49–55. doi:10.1097/ADM.0000000000000823

PubMed Abstract | CrossRef Full Text | Google Scholar

227.Centers for disease control and prevention. U. S. Overdose deaths in 2021 increased half as much as in 2020 – but are still up 15% (2022). Available from: https://www.cdc.gov/nchs/pressroom/nchs_press_releases/2022/202205.htm (Accessed May 16, 2023).

Google Scholar

228. Lotsch, J, Walter, C, Parnham, MJ, Oertel, BG, and Geisslinger, G. Pharmacokinetics of non-intravenous formulations of fentanyl. Clin Pharmacokinet (2013) 52(1):23–36. doi:10.1007/s40262-012-0016-7

PubMed Abstract | CrossRef Full Text | Google Scholar

229. Suzuki, J, and El-Haddad, S. A review: Fentanyl and non-pharmaceutical fentanyls. Drug Alcohol Depend (2017) 171:107–16. doi:10.1016/j.drugalcdep.2016.11.033

PubMed Abstract | CrossRef Full Text | Google Scholar

230. Sloan, PA, Moulin, DE, and Hays, H. A clinical evaluation of transdermal therapeutic system fentanyl for the treatment of cancer pain. J Pain Symptom Manage (1998) 16(2):102–11. doi:10.1016/s0885-3924(98)00044-x

PubMed Abstract | CrossRef Full Text | Google Scholar

231. Palamar, JJ, Cottler, LB, Goldberger, BA, Severtson, SG, Grundy, DJ, Iwanicki, JL, et al. Trends in characteristics of fentanyl-related poisonings in the United States, 2015-2021. Am J Drug Alcohol Abuse (2022) 48(4):471–80. doi:10.1080/00952990.2022.2081923

PubMed Abstract | CrossRef Full Text | Google Scholar

232. Rojkiewicz, M, Majchrzak, M, Celinski, R, Kus, P, and Sajewicz, M. Identification and physicochemical characterization of 4-fluorobutyrfentanyl (1-((4-fluorophenyl)(1-phenethylpiperidin-4-yl)amino)butan-1-one, 4-FBF) in seized materials and post-mortem biological samples. Drug Test Anal (2017) 9(3):405–14. doi:10.1002/dta.2135

PubMed Abstract | CrossRef Full Text | Google Scholar

233. Rogers, JS, Rehrer, SJ, and Hoot, NR. Acetylfentanyl: An emerging drug of abuse. J Emerg Med (2016) 50(3):433–6. doi:10.1016/j.jemermed.2015.10.014

PubMed Abstract | CrossRef Full Text | Google Scholar

234. Tizabi, Y, Bai, L, Copeland, RL, and Taylor, RE. Combined effects of systemic alcohol and nicotine on dopamine release in the nucleus accumbens shell. Alcohol Alcohol (2007) 42(5):413–6. doi:10.1093/alcalc/agm057

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: adolescents, e-cig, smoking cessation, gateway, addictive drugs, conventional cigarettes, alcohol, cannabis

Citation: Chen G, Rahman S and Lutfy K (2023) E-cigarettes may serve as a gateway to conventional cigarettes and other addictive drugs. Adv. Drug Alcohol Res. 3:11345. doi: 10.3389/adar.2023.11345

Received: 08 March 2023; Accepted: 14 June 2023;
Published: 30 June 2023.

Edited by:

Lance R. McMahon, Texas Tech University Health Sciences Center, United States

Reviewed by:

Samuel Obeng, Texas Tech University Health Sciences Center, United States
Jenny Wilkerson, Texas Tech University Health Sciences Center, United States

Copyright © 2023 Chen, Rahman and Lutfy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kabirullah Lutfy, klutfy@westernu.edu