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. 2022 Mar 19;24(9):1332–1343. doi: 10.1093/ntr/ntac073

The Role of Nicotine and Flavor in the Abuse Potential and Appeal of Electronic Cigarettes for Adult Current and Former Cigarette and Electronic Cigarette Users: A Systematic Review

Mari S Gades 1,, Aleksandra Alcheva 2, Amy L Riegelman 3, Dorothy K Hatsukami 4
PMCID: PMC9356694  PMID: 35305014

Abstract

Introduction

Many adult cigarette smokers use electronic cigarettes (e-cigarettes) to cut down on or quit smoking cigarettes. E-cigarettes with higher abuse potential and appeal might facilitate complete switching. E-liquid nicotine concentration and flavor are two of the characteristics that may affect the abuse potential and appeal of e-cigarettes. The objective of this systematic review was to compile results from survey, animal, human laboratory, and clinical studies to understand the possible effects of nicotine concentration and flavor on abuse potential and appeal of e-cigarettes in adult current and former cigarette and e-cigarette users.

Aims and Methods

A comprehensive literature search was conducted in Ovid Medline and PsycINFO followed by citation tracking in Web of Science Core Collection. Peer-reviewed studies published in English between 2007 and August 2020 were selected that analyzed differences between e-liquid nicotine concentration and/or flavors, had outcome measures related to abuse potential and/or appeal, and included adult humans (18+) or animals. A total of 1624 studies were identified and screened. A qualitative synthesis of results was performed.

Results

Results from 104 studies included in this review suggest that higher nicotine concentration and access to a variety of flavors are likely to be associated with higher abuse potential and appeal of e-cigarettes for adult current and former cigarette and e-cigarette users.

Conclusions

Higher nicotine concentrations and the availability of a variety of flavors in e-cigarettes might facilitate complete substitution for cigarettes. Future e-cigarette regulations should take into account their impact on smokers, for whom e-cigarettes may be a cessation tool or reduced-harm alternative.

Implications

E-cigarettes may provide a reduced-harm alternative to cigarettes for smokers unwilling/unable to quit or serve as a path for quitting all nicotine products. Higher nicotine concentrations and flavor variety are associated with higher abuse potential and appeal of e-cigarettes. Higher abuse potential and appeal products may help facilitate complete switching from cigarettes to e-cigarettes. Regulation of nicotine concentration and flavors aimed at decreasing naïve uptake may inadvertently decrease uptake and complete switching among smokers, reducing the harm reduction potential of e-cigarettes. Evidence-based effects of regulating nicotine concentration and flavors must be considered for the population as a whole, including smokers.

Introduction

Electronic cigarettes (e-cigarettes) are a potential “disruptive technology” in the landscape of current tobacco products. They are associated with lower levels of known tobacco-related toxicants compared with cigarettes,1,2 making them a potentially less-harmful substitute for combustible tobacco use.3 However, the rising popularity of e-cigarettes has been controversial for several reasons: the high uptake among youth, unknown long-term health consequences, and the potential gateway to and re-normalization of cigarette smoking.4

Despite the controversy, there is “moderate-certainty evidence that [e-cigarettes] with nicotine increase quit rates compared to [nicotine replacement therapies].”5 According to the CDC, there are 34.1 million smokers in the United States, and 68% of them want to quit smoking. Many current and former cigarette smokers report using e-cigarettes to cut down or quit smoking.6 However, concurrent use of e-cigarette and combustible tobacco products (dual use) is a predominant pattern of use, and co-exposure to e-cigarette aerosol and cigarette smoke, as it occurs in dual users, may result in higher nicotine intake and increased exposure to tobacco-related toxicants compared to e-cigarette or cigarette use alone.2 Therefore, for cigarette smokers to achieve any potential health benefits of e-cigarettes, they must completely substitute e-cigarettes for their cigarettes.2 To achieve complete switching, smokers may need to have access to e-cigarettes that compete with the abuse potential and appeal of their cigarettes. Abuse potential is the “likelihood that [intentional, nontherapeutic use to achieve a desired psychological or physiological effect] will occur with a particular drug or substance with CNS activity”7; appeal is also referred to as consumer appeal, product appeal, or product attractiveness.8 Both abuse potential and appeal measures are related to nicotine product uptake and continued use.9–11 Measurements of abuse potential and appeal can therefore point to which product characteristics and under which circumstances e-cigarettes can substitute for combustible 
cigarettes.

The overarching goal of this systematic review is to characterize the contributions of e-liquid nicotine concentration and flavor on the potential to substitute for cigarettes in an adult population. Nicotine, as the primary addictive drug in tobacco products and a common treatment such as in nicotine replacement therapies, can impact abuse potential of e-cigarettes through affecting the central nervous system and providing sensory effects (eg, harshness, throat hit). Flavor has historically been linked with appeal and even abuse potential in other tobacco products, as exemplified when the 2009 Family Smoking and Prevention Act banned flavored cigarettes (except menthol) and cigarette sales decreased while other flavored tobacco sales increased.12

This systematic review will describe how these factors relate to the abuse potential and appeal of e-cigarettes in surveys and human controlled trials for adult current and former cigarette and e-cigarette users,8,13 as well as in experimental adult animal studies, with the premise that higher abuse potential and appeal of e-cigarettes leads to greater substitution for cigarettes.

The specific question this systematic review aims to answer is: How does nicotine concentration and/or flavor affect measures of abuse potential and appeal of e-cigarettes for adult current and former cigarette and e-cigarette users? Our review is novel in many ways. First, it expands on previous reviews by including research through 2020. Our review includes both tobacco and menthol flavors that are now the only US options for pod-based e-cigarettes on the market, whereas many previous reviews do not include these classic tobacco flavors. It also includes animal research, which is often excluded or ignored in other abuse potential reviews on e-cigarettes despite the fact that it not only provides additional insight (eg, neuroplasticity) but also is often used in abuse liability assessments and FDA policy decisions, particularly with medications.7 Previous systematic reviews, especially those on e-cigarette flavors, have focused on decreasing youth uptake through banning flavors. In contrast, this review focuses on measures related to abuse liability assessment and appeal within the framework of harm reduction for individuals already addicted to nicotine, in this case focused on adults because they are past the stage of naïve e-cigarette acquisition and are the targets for harm reduction. Finally, we include a section dedicated to nicotine and flavor interactions, which can be informative and includes recent research not included in previous reviews.

Methods

Eligibility Criteria

Studies were eligible if they met all the following criteria:

  1. Were a peer reviewed study (all study designs were included) published in English between 2007 and August 2020. This date range was selected based on the emergence of vaping products and research conducted on this topic starting in 2007.

  2. Analyzed differences between e-liquid nicotine concentrations, between e-liquid flavors, and interactions between e-liquid nicotine concentrations and flavors.

  3. Had an outcome measure related to abuse potential and/or appeal, including dependence, pharmacokinetics, pharmacodynamics, preference/choice, self-administration, intracranial self-stimulation (ICSS), subjective responses, and sensory ratings.

  4. Included adult current or former cigarette and/or e-cigarette users (18 and older) or adult animals. If data included youth, adult data needed to be able to be disentangled from youth data.

Information Sources and Search

To build a comprehensive set of relevant studies, a Social Sciences Librarian (AR) designed a search strategy for Ovid Medline. The search strategy was then translated to PsycINFO via Ovid. The search terms and subject headings included electronic cigarettes, e-cig, electronic nicotine delivery system, vaporizer cigarette, vape pen, vapes, and vaping regarding the product. Additionally terms were used to reflect factors for abuse potential and appeal such as nicotine concentration, nicotine delivery, nicotine dose, nicotine pharmacokinetic, nicotine pharmacodynamic, taste perception, and flavor. Database filters were used to eliminate sources published prior to 2007. Searches were conducted originally in September 2019 and updated August 2020. A full search strategy for the primary database, Ovid Medline, is viewable in Appendix A. The database searching produced 1359 items, and EndNote identified 266 duplicates that were removed prior to title and abstract screening. Additionally forward 
and backward citation tracking in Web of Science was performed on the studies that met eligibility wherein additional studies were discovered. Figure 1 features a PRISMA Flow Diagram with the total number of studies during each phase.14

Figure 1.

Figure 1.

PRISMA flow diagram of article identification, screening, and selection.

Study Selection and Data Collection

After deduplication of records, two of the authors (MSG and AA) independently screened the title and abstract of each record for inclusion. Discrepancies were resolved by discussion. Irrelevant records were removed from the pool, and potentially relevant records were each individually reviewed in their full text form by the same authors (MSG and AA). Discrepancies were again resolved by discussion. One author (MSG) screened all forward and backward cited records, with 25% of citations checked for reliability by AA. Once selected, one author (MSG) extracted data from each study using a formatted spreadsheet. Rayyan cloud-based software was used to manage the coding process.15

Data Items

Data items included in the tables of this review are:

  • Citation

  • Study design (Experimental Animal, Clinical Trial, Human Control Trial [eg, human experimental study], Cross-Sectional, Cohort)

  • Sample size, demographics, nicotine use

  • Nicotine concentrations and/or flavors

  • Abuse potential/appeal measures used

  • Summary of results

Risk of Bias in Individual Studies

Risk of bias was assessed using the OHAT Risk of Bias Tool for Human and Animal Studies.16 Studies were scored on a 4-point scale from 1 (Definitely Low Risk) to 4 (Definitely High Risk). While scores were not used for inclusion or exclusion of studies, this assessment provides a general assessment of the quality of included studies. Two authors (AA and MSG) assessed the same 10 articles then compared results, resolving discrepancies through discussion. Once mutual standards were agreed upon, the remaining articles were split between the two authors to assess on their own.17 Risk of bias assessment outcomes can be found in Supplementary Table 1.

Results

Study Selection

The search and subsequent forward and backward citation tracking identified 1624 records. Following the screening process, 179 records were reviewed in their full text form; 104 articles were included in the final review. Study characteristics and results of individual studies can be found in Supplementary Tables 2 (Nicotine), 3 (Flavor), and 4 (Interactions). Although risk of bias scores were not used for inclusion/exclusion, they provide a broad view of the general quality of included studies. The majority of included studies showed low-to-probably-low risk of bias (mean score 1.64; standard deviation 0.31; range 1.14–2.63).

Nicotine

Epidemiology/Survey Studies

Twelve epidemiology and survey studies focused on nicotine concentrations used by e-cigarette users and correlates of those concentrations (Supplementary Table 2).

E-cigarette dependence was related to reported e-liquid nicotine concentrations used by daily e-cigarette users. Specifically, increased e-cigarette dependence was associated with increased self-reported nicotine e-liquid concentration, indicating a positive relationship between e-cigarette abuse potential and nicotine concentration.18 Another study found that e-cigarette dependence was greater specifically among those who reported using more than 13 mg/mL nicotine compared to users who reported using 0–12 mg/mL.19

Research on daily e-cigarette users also showed that 74% of e-cigarette users who have recently completely switched from cigarettes report using e-liquid nicotine concentrations greater than 15 mg/mL at the time of cigarette cessation, and 16.9% reported needing to increase their initial nicotine concentrations to achieve complete smoking abstinence. Many (64.9%) substantially decreased their nicotine concentrations following complete smoking abstinence.20 Findings related to preferred nicotine concentrations were similar for both current and former smokers who are current e-cigarette users; that is, they preferred 15 mg/mL followed by 15+ mg/mL nicotine e-liquid concentrations.21 In other studies, former smokers reported initiating and continuing to use higher nicotine concentrations compared with current smokers or never smokers.22,23 In another study of e-cigarette users that had recently quit smoking, higher nicotine concentrations were related to stronger perceived cigarette craving reduction and higher e-cigarette satisfaction.24 Higher nicotine concentrations may be associated with increased satisfaction and 
craving relief through providing a stronger throat hit.25

Demographic subpopulations of e-cigarette users may be using different nicotine concentrations. For example, among pregnant dual users, most participants (54.1%) reported using low nicotine concentrations (1–6 mg/mL).26 Furthermore, young adult dual and exclusive e-cigarette users reported using a variety of nicotine concentrations, with the most popular tied between 6, 12, and 18 mg/mL.27 Among American Indian (Cherokee) dual users, 39% reported using 1–12 mg/mL, 18% reported using 13–17 mg/mL, and 23% reported using 18 mg/mL or more nicotine.28 Among active-duty military members, participants using an e-cigarette with nicotine reported using an e-cigarette for longer than those using an e-cigarette without nicotine.29 These studies suggest that higher concentrations of nicotine are associated with greater abuse potential (eg, dependence, duration of use) and associated with complete switching.

Experimental Animal Studies

Experimental animal studies have explored the effects of a range of nicotine doses in e-liquids through self-administration, demand elasticity, intracranial self-stimulation (ICSS), forced choice, and dependence indicators. Since previous reviews have discussed dose response curves and reinforcement thresholds for nicotine in general (eg, Sofuoglu and LeSage, 201230), this section focuses on nicotine in e-liquid or aerosol.

Five animal studies examined the effects of e-cigarette liquid nicotine concentrations on the abuse potential measures listed above (Supplementary Table 2). In general, findings show that higher doses of nicotine are more reinforcing and have higher abuse potential, except at very high doses which become aversive. Adult male rats intravenously self-administered e-liquid aerosol solutions containing nicotine more than vehicle control, denoting higher abuse potential for nicotine containing e-liquid solutions.31 Male adult rats had greater decreases in ICSS thresholds with higher nicotine concentrations compared to lower concentrations if given either e-cigarette liquid or nicotine-alone; lower thresholds indicate that higher nicotine concentrations are more rewarding than lower concentrations.32,33 Interestingly, while administration of high nicotine doses increased the ICSS threshold, denoting aversion to the drug dose, this increase was attenuated with nicotine e-liquid compared to nicotine alone.32 Nicotine-free e-liquids had no affect on ICSS thresholds, supporting a direct effect of nicotine.32

Two studies used whole-cage aerosol exposure, finding that higher levels of nicotine in aerosol were associated with higher plasma nicotine and plasma cotinine in rats,34 and that higher nicotine was associated with more behavioral sensitization—a physiological sign of stimulant dependence in rodents—where more sensitization is related to higher abuse potential.35 Additionally, after 10 days of aerosol exposure, higher nicotine concentrations were associated with higher withdrawal scores than lower nicotine.34

Experiments and Clinical Trials

The fifteen human control experiments and nine clinical trials on the abuse potential and appeal of nicotine in e-cigarettes focused on physiological, psychological, and behavioral effects of different nicotine concentrations in e-liquids (Supplementary Table 2). Physiologically, plasma nicotine was related to liquid nicotine concentrations in both e-cigarette-experienced and e-cigarette-naïve individuals, with higher nicotine concentrations translating to higher plasma nicotine, which according to traditional abuse liability assessments7 translates to higher abuse potential.36–40 Specific pharmacokinetic measures, such as Cmax (peak plasma nicotine) and area under the curve (AUC), were positively related to nicotine concentrations, with the highest nicotine concentration (40 mg/mL salt-based nicotine) not being significantly different than combustible cigarette measures.41,42

Compared to placebo e-cigarettes, nicotine-containing e-cigarettes relieved withdrawal and craving symptoms in smokers.43 Higher nicotine concentrations (2.4 vs. 1.6%, 8 vs. 3 mg/mL, and 18 vs. 6 mg/mL) were associated with decreased urge to use cigarettes or e-cigarettes and nicotine withdrawal symptoms compared to lower concentrations following use in e-cigarette naïve cigarette smokers36 and experienced e-cigarette users (a majority of whom are former cigarette smokers).38,44 One study found that this was only true if participants were told they were receiving e-liquid containing nicotine.45 In aggregated cigarette smokers and e-cigarette users, higher nicotine concentrations (8 vs. 3 mg/mL and 36 vs. 8 or 0 mg/mL) were associated with more suppression of nicotine abstinence symptoms and reduced nicotine craving.37,41 In cigarette smokers, higher nicotine concentrations in e-liquid (40 vs. 16 mg/mL and nicotine containing vs nicotine-free) were associated with reduced desire to smoke in clinical trials,42,46 and higher nicotine Cmax was associated with increased perceived smoking urge relief in a laboratory study.47 Higher nicotine concentration 
(1–24+ mg/mL) was associated with greater nicotine dependence and cigarette dependence in dual users.48 On the other hand, cigarette smokers that were asked to switch to an e-cigarette (8 vs. 0 mg/mL and 24 vs. 16 mg/mL) showed lower levels of cigarette nicotine dependence in clinical trials if the e-cigarette contained nicotine or higher nicotine.49,50 One study found that desire to smoke and withdrawal symptoms were equally lower for nicotine-free and nicotine-containing e-cigarettes compared with just holding an e-cigarette, and another study found that nicotine dose did not affect cigarette craving.51,52

Liking and choice of e-cigarette doses do not seem to be related to higher nicotine concentrations. Laboratory studies found that greater positive subjective responses and liking of e-cigarettes was associated with lower levels of nicotine for cigarette smokers (0 vs. 18 mg/mL)53 and e-cigarette users (3 vs. 8 mg/mL).38 Another clinical trial found no differences in liking ratings based on nicotine concentration of e-liquid for cigarette smokers with medical/psychiatric comorbidities.54 Gender and anticipation of nicotine also contribute to the psychological response to nicotine in e-liquid. For example, daily female e-cigarette-only and dual users reported higher psychological reward for nicotine-containing e-cigarettes only if they were told they contained nicotine.55 This effect was not found for the male participants. Female participants had higher aversion to e-cigarettes containing nicotine regardless of whether they were told it had nicotine or no nicotine in it. Furthermore, in a discrete choice experiment among dual users, choice did not depend on nicotine concentration.56

Higher nicotine dose may be related to greater intensity of use. Higher nicotine concentrations were associated with higher puff number and shorter puffs on an e-cigarette, as well as higher e-liquid consumption and nicotine intake for experienced e-cigarette users (18 vs. 6 mg/mL)44 and e-cigarette naïve cigarette smokers (0–36 mg/mL).39 One study found that higher nicotine was associated with longer puffs for e-cigarette users.38

Higher doses of nicotine may also serve as a better substitute for smoking. In clinical trials where cigarette smokers were asked to use or switch to an e-cigarette, nicotine-containing e-cigarettes (8–45 mg/mL), especially those with higher nicotine concentration, were related to fewer cigarettes smoked per day and lower exhaled carbon monoxide compared with cigarette control or nicotine-free e-cigarettes.49,57,58 Another clinical trial found that e-cigarette naïve cigarette smokers given nicotine patches and an e-cigarette with 18 mg/mL e-liquid were more likely to have CO-verified cigarette abstinence six months later compared to 0 mg/mL e-liquid or nicotine patch alone.59 Motivation to quit smoking for cigarette smokers with comorbid medical/psychiatric conditions increased more from baseline to follow-up for participants who used a higher nicotine concentration (24 mg/mL vs. 12 mg/mL).54

Conclusions

In general, included studies suggest that higher nicotine concentrations are related to higher abuse potential and appeal, but that nicotine can become aversive at very high concentrations. Epidemiology and survey studies suggest that higher nicotine concentrations are more likely to be used by individuals interested in or who have recently quit smoking. Experimental animal studies added to this finding by showing that nicotine in e-liquid relates to its reinforcing effects, which would be important for individuals who may need a more rewarding experience to switch from cigarettes. Measures of abuse potential and appeal in experimental and clinical studies supported these findings, suggesting that higher nicotine concentration is associated with higher plasma nicotine levels, greater relief of craving and withdrawal, greater dependence, increased use, and a better substitution for cigarettes. Further studies are necessary to include newer e-cigarette devices, larger populations, a wider variety of nicotine concentrations, and control over factors that affect nicotine delivery (eg, power, e-liquid solvent composition).60 Overall, current research on e-liquid nicotine concentrations and abuse potential and appeal suggest that higher nicotine concentrations (12+ mg/mL) are experienced more favorably and used more for quitting than lower or no nicotine in e-liquid but also that access to a variety of nicotine concentrations is likely the most helpful for cigarette smokers trying to quit smoking.

Flavor

Epidemiology/Survey Studies

Thirty-one epidemiology and survey studies examined the relation between flavor and abuse potential or appeal measures such as preference/use, intention to use, value/importance, and smoking reduction/cessation outcomes (Supplementary Table 3). Between 2012 and 2013, market share of nonflavored and menthol/mint flavored e-liquids decreased, while fruit and “other” flavors increased.61 Research since then has shown an increase in the number of e-cigarette users whose first product and current product is flavored.62–65 This is supported by surveys of adult e-cigarette users, which show that over time, flavor preferences have changed, migrating from traditional tobacco flavors (tobacco and menthol/mint) toward sweets and candy flavors.66 One survey found that between 2011 and 2016, tobacco as an initial flavor decreased from 46% to 24% of e-cigarette users, while fruit as a first flavor increased from 17.8% to 33.5%, followed closely by dessert/pastry and candy/chocolate/sweets flavors.67 This change may be the result of an increased availability of flavors or a real change in flavor preference.

In general, the most preferred/used flavors were fruit, mint/menthol, and candy/dessert flavors.21,27,62,64,68–75 For cigarette smokers who recently bought a JUUL e-cigarette online, mint and mango were the most commonly used flavors.76 Mint and fruit flavors were also the most preferred JUUL flavors for college student and adult JUUL ever-users.77,78 These preferences replicate in subpopulations such as pregnant or racial and ethnic minority e-cigarette users (eg, Asian American/Pacific Islander or Maori).26,79–81 Users of these flavors rate their e-cigarettes higher on satisfaction and lower on perceived addiction risk compared with tobacco flavored or unflavored e-liquid users.63

Compared to former smokers or cigarette-naive e-cigarette users, dual use and/or increasing age were associated with higher tobacco flavor preference, although fruit and/or menthol/mint flavors were still generally more preferred than tobacco even in these populations.21,27,62,69 Dual users were more likely to begin e-cigarette use with tobacco flavor compared with former smokers.62

Availability of a variety of flavors and the ability to switch between flavors was a valued aspect of e-cigarettes, and was often cited as a main reason for use—behind health and smoking cessation.26,29,65,72 Flavor was also associated with increased intention to use, ever trying, and current use of e-cigarettes in college students.82 However, another study of adult e-cigarette users found that neither preference for specific flavors nor total number of preferred flavors were significantly associated with e-cigarette use.83 These findings may mean that dual users, smokers who have tried and rejected e-cigarettes, switchers, and nicotine quitters have different flavor preferences (eg, tobacco related flavors were associated with dual users while fruit flavors were associated with switchers84).

The focus of many studies has been the effect of flavored e-cigarette use on cigarette use and cigarette/nicotine dependence among cigarette smokers and dual users, as greater uptake of e-cigarettes would suggest higher abuse potential and appeal and possibly greater substitution for cigarettes. These studies show varying results. Compared with using tobacco or unflavored e-liquids alone, cigarette smokers who used one or multiple nontobacco flavored e-liquids were more likely to have reduced or quit smoking.76,85–87 Another study also found that flavored e-cigarette use was associated with fewer cigarettes smoked per day; however, it found no change in number of days smoked per month or nicotine dependence compared with unflavored and tobacco flavored e-liquids.88 The number of flavors used may also be important, as one study found that the number of flavors used was associated with increased cigarette smoking cessation for dual users.72 ln sum, the epidemiological studies suggest that nontobacco flavors are highly valued and increase the abuse potential and appeal of e-cigarettes.

Experimental Animal Studies

Five animal studies examined the impact of flavor on abuse potential and appeal (Supplementary Table 3). Wickham et al. (2018)89 found that oral sweeteners increased dopamine release in the nucleus accumbens in rats, an area of the brain associated with reward and addiction. This study also found that oral sweeteners increased intravenous nicotine self-administration. Last, they found that oral menthol flavor attenuated nicotine aversion. Avelar et al. (2019)90 examined farnesol, a flavorant used in fruit-flavored e-liquids. They found that intraperitoneal (i.p.)-injected farnesol increased dopamine neuron firing rates and reward-related behavior for male but not female mice. Additionally, farnesol increased locomotor sensitization and upregulated alpha-6 containing nicotinic acetylcholine receptors. Wong et al. (2020)91 described higher consumption and preference for fruit-flavored nicotine-containing e-liquids compared with nicotine alone for 75, 100, and 200 μg/mL concentrations for adult male mice in a two-bottle choice task. However, conditioned place preference, place aversion, and serum nicotine/cotinine at 10, 20, 30, or 50 min did not differ across flavors (tobacco, fruit, and unflavored) compared with nicotine alone following intraperitoneal injections.

Menthol flavoring added to a bottle of nicotine liquid increased nicotine intake and nicotine preference for male but not female rats.92 Menthol injections dose-dependently decreased nicotine clearance, resulting in increased nicotine AUC and prolonged nicotine effects (eg, antinociception) in adult male mice.93 The results from these various studies suggest that sweetness and cooling flavors elicit reward-related behaviors and neuroplasticity on their own, as well as increase the rewarding properties of nicotine.

Experiments and Clinical Trials

Sixteen laboratory experiments and four clinical trials focused on the role of flavor in e-cigarette abuse potential and appeal (Supplementary Table 3). One laboratory study found that young adult e-cigarette users found fruit flavors more appealing than tobacco flavor; female participants additionally found menthol more appealing than tobacco flavor while male participants did not, even after controlling for menthol smoking.94 However, in another laboratory study users found their usual flavor—which varied—more likeable and satisfying compared with strawberry or tobacco flavors sampled in a study, suggesting less emphasis on specific flavors and more emphasis on access to flavors preferred by the individual.95

Liking an e-liquid flavor correlated with increased sweetness and coolness and decreased harshness and bitterness for dual users.96 Supporting this, another study found that for young adult e-cigarette users and adult cigarette smokers, ratings of sweetness positively correlated with liking, willingness to use again, and perceived monetary value of e-cigarettes.53,97 Furthermore, sweet and fruit flavors shown in e-cigarette ads elicited greater fMRI nucleus accumbens activity compared with tobacco flavors for nonsmoking young adults who had tried an e-cigarette before and were deemed susceptible for future e-cigarette use.98

Cherry and menthol flavor were rated more highly on perceived pleasantness, taste, and physical sensation compared with unflavored and tobacco flavors by e-cigarette naive cigarette smokers.99 Young adult cigarette smokers rated fruit and dessert flavors significantly more rewarding and satisfying than unflavored e-liquid, and preferred fruit flavor over dessert flavor.100 Cigarette smokers in one clinical trial rated menthol flavor as more likeable than tobacco flavor.54 One study found that while there was no difference in demand elasticity for tobacco versus menthol flavored e-liquids, cherry had a higher crossover point and less demand elasticity than unflavored e-liquid, indicating that participants found cherry more valuable than unflavored e-liquid.101

St. Helen et al. (2017)95 found that nicotine AUC0→180 and Cmax were higher with strawberry flavor than tobacco flavor. The study also found that puff duration was longer with strawberry than tobacco, and even longer for their usual brand e-liquid, which varied in flavor.102 One clinical trial found that for daily smokers, cherry flavor had the highest Cmax and AUC over the first 10 min, while vanilla had the lowest of these measures; menthol flavor had the highest AUC over 2 h, and tobacco had the lowest.103 However, another clinical trial found that for cigarette smokers, there was no main effect of preferred flavor (menthol or tobacco) on nicotine delivery.104 Young adult cigarette smokers worked harder for flavored compared with unflavored puffs on an e-cigarette, and took more puffs on flavored compared with unflavored e-liquid during ad-libitum use.100

Discrete choice tasks in e-cigarette literature parse out which product features relate to consumer choice, and many have included flavor. Increased flavor availability was related to increased e-cigarette selection for younger but not older adult smokers, and for e-cigarette-naïve but not for individuals who had used e-cigarettes before.105 However, another study found that fruit/candy/sweet/other flavors and menthol flavors decreased probability of dual users choosing e-cigarettes over cigarettes compared with tobacco flavor, although menthol smokers specifically preferred menthol flavored e-cigarettes.56 This may be due to smoking status, as current adult smokers chose tobacco flavors, e-cigarette users who had recently quit smoking chose fruit/sweet flavors.106 Supporting this finding, young adult nicotine users who preferred smoking to e-cigarettes preferred tobacco flavor; while participants who preferred e-cigarettes to smoking preferred fruit and candy flavors.107

Cigarette smokers reduced cigarettes per day more in a clinical trial when asked to use a menthol flavored e-cigarette compared to other flavors, and reduced the fewest cigarettes per day with chocolate and cherry flavors compared to other flavors.108 The same study found that the highest e-cigarette uptake was for tobacco and cherry flavors and lowest for chocolate flavors. However, two other clinical trials found no differences between flavors in cigarette withdrawal symptoms or smoking/e-cigarette craving for daily cigarette smokers103 or e-cigarette users.36 In general, the results from the experimental and clinical trial studies are concordant with the other type of studies: sweet and cooling flavors had higher appeal and abuse potential compared to tobacco-flavor, with some variability based on age and smoking history.

Conclusions

Overall, the included studies suggest that flavors, especially fruit, candy, and menthol/mint, increase the abuse potential and appeal of e-cigarettes through increasing sweetness or coolness and decreasing bitterness and harshness of the product. This in turn leads to higher use and choice of that product. Individuals overwhelmingly favored fruit flavors, followed closely by menthol/mint and candy/dessert flavors. Tobacco flavors, however, were appealing among nonmenthol cigarette smokers and dual users. Animal studies similarly found preferences and reward-related behaviors associated with fruit flavors and sweeteners; flavors alone can also serve as a reward. Interestingly, in human studies there were differences in appeal, choice, and nicotine delivery of flavored products based on smoking status and age. In general, young adults and exclusive e-cigarette users who are either cigarette-naive or recent quitters were more likely to use nontobacco/menthol flavors, while increasing age, dual use, and cigarette-only use were more likely to choose tobacco or menthol flavors. Overall, these results suggest that flavors affect the abuse potential of e-cigarettes through increasing product appeal, especially through the availability of a variety of flavors to account for individual preference.

Nicotine and Flavor Interactions

Fifteen studies discussed how the statistical interaction between nicotine and flavor affects e-cigarette abuse potential and appeal measures (Supplementary Table 4).

E-liquid Nicotine Concentration and Flavor Interactions

In a discrete choice experiment with cigarette users and nonusers, interest in trying an e-cigarette was positively related to cherry and menthol flavors with “low” nicotine levels, and negatively related to tobacco flavor with “medium” nicotine levels.109 The same study found that perceived cigarette quit efficacy was associated with menthol and coffee flavors with low nicotine content, and negatively associated with tobacco and cherry flavor with nicotine-free or medium nicotine content. Another study found that for young adult cigarette smokers, “high” nicotine dose plus tobacco/menthol flavor was associated with a significant decrease in cigarette smoking urges.110 Interestingly, tobacco/menthol flavor was associated with increased nicotine/drug effects even in nicotine-free e-liquid, and the nicotine-free e-liquids containing cream and fruit flavors were rated the most pleasant and led to more interest in using again compared with any other nicotine/flavor combinations.110 Menthol and fruit flavors interacted with nicotine concentration (0 vs. 24 mg/mL) in another study, with menthol being more disliked than fruit in nicotine-free e-liquid, but less disliked than fruit in nicotine-containing e-liquid.111

Effects of Sweet and Cooling Flavors on Nicotine’s Harshness

The majority of research on interaction effects focused on the ability of flavors to attenuate the harshness or appeal reduction of higher nicotine concentrations. Results from this research were inconsistent. While some studies found this attenuation for fruit and menthol/mint flavors for young adult vapers and adult cigarette smokers112–116 other studies found no such association with fruit, menthol, or sweet flavors for young adult exclusive e-cigarette users or young adult 
menthol cigarette smokers.97,117,118 One animal study also failed to show this association, with no affect of arctic blast flavor on responding for nicotine injection or aerosolized e-liquid.119 However, another animal study showed that i.p. menthol injections led to more lever presses for lower nicotine and fewer for higher nicotine, as well as a higher nicotine breakpoint, than without menthol.120 Similarly, another study showed that i.p. menthol injection increased nicotine conditioned placed preference more than nicotine or menthol alone and enhanced nicotine-related neuroplasticity.121

This discrepancy in the research on whether flavors have attenuating effects for higher doses of nicotine may be due to flavors chosen, or due to the smoking history of the e-cigarette users, as one study found that flavors attenuated harshness only for e-cigarette users who were not current/former cigarette smokers.112 Another study found that fruit and menthol attenuated nicotine appeal-reducing effects for young adult users who did not vape to quit smoking, but not for those who did vape to quit smoking.114 Attenuating effects may also be due to the sweetness level of an e-liquid, as one study found that enhancing the sweetness of nicotine-containing flavored e-liquid increased wanting and liking ratings compared with nonsweetness-enhanced nicotine e-liquids or sweet nonnicotine e-liquids, and that sweetness enhancement led to increased nucleus accumbens activation suggesting higher reward.122

Conclusions

Overall, the included articles suggest that nicotine and flavor may interact to affect the abuse potential and appeal of e-cigarettes. While the evidence presented on how these factors interact is conflicting, it is likely that sweet or cooling flavors (eg, fruit or menthol/mint) attenuate the harshness and bitterness of higher nicotine concentrations, or increase the pleasantness and liking of nonnicotine e-liquids. It is important to note that smoking history and using an e-cigarette to quit smoking may play a role in how nicotine concentrations and flavors interact.

Discussion

Summary of Evidence

There were several important findings of this review. In general, increased nicotine concentrations in e-liquid were associated with higher abuse potential and appeal in animals and for adult cigarette, e-cigarette, and dual users. Medium to high levels of nicotine (12–18 mg/mL on average) were the most preferred/used nicotine concentrations, especially for individuals trying to or who had recently succeeded in quitting smoking (eg, Farsalinos et al., 201320). Higher nicotine concentrations were also related to higher levels of plasma nicotine, greater decreases in withdrawal symptoms and higher dependence, indicating greater central nervous system activation (eg, D’Ruiz et al., 201536). This is supported by animal studies, which showed increased reward-related behaviors with increasing nicotine doses, although nicotine became aversive at very high levels (eg, Harris et al., 201831).

Another major finding was that flavors, especially nontobacco flavors, were related to increased abuse potential, especially through increasing the appeal of e-cigarettes. Fruit, menthol/mint, and candy/dessert flavors were the most preferred/used across all e-cigarette user groups, although dual users rated tobacco flavor highly as well (eg, Berg, 201627). In animal studies, flavors themselves elicited reward-related behaviors (eg, Avelar et al., 201990). Use of nontobacco and nonmenthol flavors were associated with quit rates in cigarette smokers, suggesting flavors, especially access to a variety of flavors, are an important aspect of the e-cigarette experience and may make up for an e-cigarettes lower nicotine delivery abilities (eg, Chen, 201885). However, no study to date has done a head-to-head comparison of cigarette cessation between different flavors (eg, flavored vs. tobacco/menthol or tobacco vs. menthol).

While nicotine and flavor have their own rewarding effects, their interaction may further increase the abuse potential and appeal of an e-cigarette through decreasing negative sensory experiences and increasing positive ones (eg, Leventhal et al., 2019113). These results, however, are not consistent, likely due to differences in nicotine concentrations or flavors used in studies, as well as the fact that many studies used convenience samples or did not include all types of e-cigarette users (eg, dual users vs. e-cigarette-only).

Implications

This study’s findings may provide guidance on the prospective effectiveness of regulations such as nicotine caps or flavor bans on overall public health. Promoting complete switching to e-cigarettes among smokers unwilling or unable to quit nicotine is predicated on the evidence that e-cigarettes reduce harm compared to cigarettes.1,2 Current evidence indicates substantial reduction in exposures to tobacco-related toxicants in cigarette users who completely switch to e-cigarettes; however, long-term health consequences are unknown.4 Abuse potential and appeal is important to measure as it relates to product uptake and persistent use, and may provide insight into an e-cigarette’s potential to act as a complete substitute for cigarettes. The US Food and Drug Administration (FDA) aims to regulate e-cigarettes to decrease youth uptake and addiction. However, the FDA also recognizes that e-cigarettes may be used as a harm reduction device for cigarette smokers, leading to possible health benefits for these individuals.123 Therefore, thoughtful consideration needs to be given on how to balance the risks and benefits to youth and to adult smokers.

Results from this review point to the potential unintended consequences of capping nicotine concentrations too low in e-liquids, as higher e-liquid nicotine concentrations (>12 mg/mL) were associated with cigarette smokers completely switching to e-cigarettes. Indeed, young adult dual users report that if e-cigarettes were offered only nicotine-free, they would decrease or stop using their e-cigarette and maintain or increase their combusted cigarette use.124 The United Kingdom and European Union have issued a cap on nicotine concentration to 20 mg/mL, which is likely sufficient for cigarette smokers interested in quitting, especially since higher nicotine concentrations are associated with harshness and bitterness (Tobacco Products Directive, 2017). However, recent studies show that smokers who use higher doses of nicotine e-liquid (5% nicotine salt by weight or 36 mg/mL) had higher rates of cessation success or smoked fewer cigarettes per day than smokers using lower doses (2% nicotine salt by weight or 0–8 mg/mL).125,126

While randomized control trials did not examine whether certain flavors are necessary for switching to e-cigarettes, results from this review highlight a majority preference for nontobacco flavored e-liquids in the United States that has grown over time. However, these results were not consistent on whether and which flavors might be associated with e-cigarette uptake and switching from cigarettes, instead emphasizing the appeal of access to a variety of flavors. Importantly, young adult dual users report that if e-cigarettes were offered in only tobacco and menthol flavors, they would decrease e-cigarette use but maintain or increase their cigarette use, raising concerns about the possible harm of a flavor ban.124 This is important, as in 2020 the US FDA banned flavors for pod and cartridge devices, except for menthol and tobacco, as youth populations have been using these devices with nonmenthol/tobacco flavors the most.127 While other types of e-cigarettes (eg, tank systems) currently have many available flavors, discussions on banning flavors for these devices should take into account that banning flavors might turn e-cigarette-only and dual users towards combustible cigarettes and do not promote cessation attempts among cigarette smokers.

Limitations and Future Directions

This study included research with a wide variety of study designs, populations, and outcome measures. However, there are a few limitations to the review and the studies involved. First, while a systematic search was created and used, this search may have missed important studies on how nicotine or flavor affects the abuse potential and appeal of e-cigarettes. For example, Cooper et al. (2021) found that menthol or green apple flavoring increased nicotine vapor self-administration in male mice.128 We were also unable to perform a meta-analysis or include effect sizes for studies due to the heterogeneity of the included research. Additionally, although young adults are an important population, we did not focus on age group differences in this paper since only some included studies divided the population into age groups, and the variability in definitions of these age groups differed substantially (eg, young adults ages 18–25 vs. 21–34). However, this heterogeneity also allowed the review to include important studies and increase the wealth of information contained within our results.

Another limitation is that many of these studies suffered from small sample sizes that limited their power and generalizability. Further research is necessary with larger populations to increase power for these studies to analyze interaction effects or multiple outcome variables. Additionally, many populations in these studies were convenience samples or limited by recruitment strategies. For example, recruitment through online vaping forums likely resulted in a positive bias of vaping. One population that was rarely included was individuals who tried vaping and then stopped, who would add valuable data on negative perceptions to balance the current research.

While outcome measures within this review encompassed many aspects of abuse potential and appeal, measures in each study largely stood alone. Integrating perception, physiology, and behavior within results of the same study would give better insight into how these different variables interact to create “abuse potential and appeal.”

Finally, randomized control trials will be needed to answer specific questions about which nicotine concentrations and flavors promote cigarette smokers to switch completely to e-cigarettes.

Conclusions

While there is still much to learn about how flavor and nicotine concentration in e-liquids affect the abuse potential and appeal of these products for adults, current research suggests that medium and high nicotine concentrations and sweet or cooling flavors such as fruit and mint are more preferred and used, especially for those who have recently switched completely to an e-cigarette from cigarettes. This may suggest that availability of flavors is related to increased e-cigarette use. This preference for flavors warrants further research exploring whether the availability of flavors increases the potential of e-cigarettes to serve as a viable substitute for cigarettes. The high value of medium-to-high levels of nicotine and fruit and sweet flavors in e-liquids suggests that nicotine caps and flavor bans would likely affect adult e-cigarette users, including those using e-cigarettes to quit cigarette use. Other regulatory strategies such as restrictions on marketing or access and sales of e-cigarettes to youth might be considered over flavor bans and caps on nicotine concentrations in e-liquids to attenuate adolescent uptake while allowing adults to use this nicotine product as a harm reduction tool for cigarette smokers.

Supplementary Material

A Contributorship Form detailing each author’s specific involvement with this content, as well as any supplementary data, are available online at https://academic.oup.com/ntr.

ntac073_suppl_Supplementary_Table_S1
ntac073_suppl_Supplementary_Table_S2
ntac073_suppl_Supplementary_Table_S3
ntac073_suppl_Supplementary_Table_S4
ntac073_suppl_Supplementary_Appendix
ntac073_suppl_Supplementary_Data
ntac073_suppl_Supplementary_Taxonomy-Form

Contributor Information

Mari S Gades, Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55454, USA.

Aleksandra Alcheva, Division of Environmental Health Sciences, School of Public Health and Masonic Cancer Center, University of Minnesota, 2231 6th Street SE, Minneapolis, MN 55455, USA.

Amy L Riegelman, Social Sciences Department, University of Minnesota Libraries, 309 19th Avenue S., Minneapolis, MN, 55455, USA.

Dorothy K Hatsukami, Masonic Cancer Center and Department of Psychiatry and Behavioral Sciences, University of Minnesota, 717 Delaware St. SE, Minneapolis, MN, 55414, USA.

Funding

This work was supported by the National Institute of Drug Abuse (T32 DA007097 and R36 DA050000 to MSG); and the National Institutes of Health (P01 CA217806 to DKH).

Declaration of Interests

None declared.

Data Availability

No new data were generated or analyzed in support of this research.

References

  • 1. Hatsukami DK, Meier E, Lindgren BR, et al. . A randomized clinical trial examining the effects of instructions for electronic cigarette use on smoking-related behaviors and biomarkers of exposure. Nicotine Tob Res. 2020;22(9):1524–1532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Goniewicz ML, Smith DM, Edwards KC, et al. . Comparison of nicotine and toxicant exposure in users of electronic cigarettes and combustible cigarettes. JAMA Netw Open. 2018;1(8):e185937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Abrams DB. Promise and peril of e-cigarettes can disruptive technology make cigarettes obsolete? J Am Med Assoc. 2014;311(2):135–136. [DOI] [PubMed] [Google Scholar]
  • 4. National Academies of Sciences, Engineering and M. Public Health Consequences of E-Cigarettes. (Stratton K, Kwan LY, Eaton DL, eds.). National Academies Press; 2018. doi: 10.17226/24952 [DOI] [PubMed] [Google Scholar]
  • 5. Hartmann-Boyce J, McRobbie H, Lindson N, et al. Electronic cigarettes for smoking cessation. Cochrane Database Syst Rev. 2020;(10). doi: 10.1002/14651858.CD010216.pub4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Glasser AM, Collins L, Pearson JL, et al. . Overview of electronic nicotine delivery systems: A systematic review. Am J Prev Med. 2017;52(2):e33–e66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Fda, Cder, Bonson, Katherine R.. Assessment of Abuse Potential of Drugs Guidance for Industry. ; 2017. http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm. Accessed January 21, 2019.
  • 8. Henningfield JE, Hatsukami DK, Zeller M, Peters E.. Conference on abuse liability and appeal of tobacco products: conclusions and recommendations. Drug Alcohol Depend. 2011;116(1–3):1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Gades MS, Petersen A, Meier E, et al. . The role of subjective responses in electronic cigarette uptake and substitution in adult smokers. Drug Alcohol Depend. Published online 2020:107999. doi: 10.1016/j.drugalcdep.2020.107999 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Hatsukami DK, Zhang Y, O’Connor RJ, Severson HH.. Subjective responses to oral tobacco products: Scale validation. Nicotine Tob Res. 2013;15(7):1259–1264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. O’Connor RJ, Lindgren BR, Schneller LM, Shields PG, Hatsukami DK.. Evaluating the utility of subjective effects measures for predicting product sampling, enrollment, and retention in a clinical trial of a smokeless tobacco product. Addict Behav. 2018;76:95–99. [DOI] [PubMed] [Google Scholar]
  • 12. Patten T, De Biasi M.. History repeats itself: Role of characterizing flavors on nicotine use and abuse. Neuropharmacology. 2020;177:108162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Carter LP, Stitzer ML, Henningfield JE, O’Connor RJ, Cummings KM, Hatsukami DK.. Abuse liability assessment of tobacco products including potential reduced exposure products. Cancer Epidemiol Biomarkers Prev. 2009;18(12):3241–3262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Moher D, Liberati A, Tetzlaff J, Altman DG.. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ. 2009;339(7716):332–336. [PMC free article] [PubMed] [Google Scholar]
  • 15. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A.. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016. 51. 2016;5(1):1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Office of Health Assessment and Translation. Handbook for conducting a literature-based health assessment using OHAT approach for systematic review and evidence integration: National Institute of Environmental Health Sciences. Published online 2019. https://ntp.niehs.nih.gov/ntp/ohat/pubs/handbookmarch2019_508.pdf. Accessed October 12, 2021. [Google Scholar]
  • 17. Meernik C, Baker HM, Kowitt SD, Ranney LM, Goldstein AO.. Impact of non-menthol flavours in e-cigarettes on perceptions and use: an updated systematic review. BMJ Open. 2019;9(10):e031598. Published 2019 Oct 16. doi: 10.1136/bmjopen-2019-031598 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Harvanko AM, McCubbin AK, Ashford KB, Kelly TH.. Electronic cigarette liquid and device parameters and aerosol characteristics: A survey of regular users. Addict Behav. 2018;84:201–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Foulds J, Veldheer S, Yingst J, et al. . Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users. Nicotine Tob Res. 2015;17(2):186–192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Farsalinos KE, Romagna G, Tsiapras D, Kyrzopoulos S, Voudris V.. Evaluating nicotine levels selection and patterns of electronic cigarette use in a group of “vapers” who had achieved complete substitution of smoking. Subst Abus Res Treat. 2013;7:SART.S12756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. O’Connor RJ, Fix B V, McNeill A, et al. Characteristics of nicotine vaping products used by participants in the 2016 itc four country smoking and vaping survey. Addiction. Published online 2019:No-Specified. doi: 10.1111/add.14571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Farsalinos K, Romagna G, Tsiapras D, et al. . Characteristics, perceived side effects and benefits of electronic cigarette use: A worldwide survey of more than 19,000 consumers. Int J Environ Res Public Health. 2014;11(4):4356–4373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Sussan TE, Shahzad FG, Tabassum E, et al. . Electronic cigarette use behaviors and motivations among smokers and non-smokers. BMC Public Health. 2017;17(1):686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Etter J-F. Explaining the effects of electronic cigarettes on craving for tobacco in recent quitters. Drug Alcohol Depend. 2015;148:102–108. [DOI] [PubMed] [Google Scholar]
  • 25. Etter J-F. Throat hit in users of the electronic cigarette: An exploratory study. Psychol Addict Behav. 2016;30(1):93–100. [DOI] [PubMed] [Google Scholar]
  • 26. McCubbin A, Wiggins A, Barnett J, Ashford K.. Perceptions, characteristics, and behaviors of cigarette and electronic cigarette use among pregnant smokers. Womens Health Issues. 2020;30(3):221–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Berg CJ. Preferred flavors and reasons for e-cigarette use and discontinued use among never, current, and former smokers. Int J Public Health. 2016;61(2):225–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Rhoades DA, Comiford AL, Dvorak JD, et al. . Vaping patterns, nicotine dependence and reasons for vaping among American Indian dual users of cigarettes and electronic cigarettes. BMC Public Health. 2019;19(1):1211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Lin J, Zhu K, Hoang PK, et al. . Electronic cigarette use and related factors among active duty service members in the U.S. military. Mil Med. 2020;185(3):418–427. [DOI] [PubMed] [Google Scholar]
  • 30. Sofuoglu M, LeSage MG.. The reinforcement threshold for nicotine as a target for tobacco control. Drug Alcohol Depend. 2012;125(1-2):1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Marusich JA, Wiley JL, Silinski MAR, et al. . Comparison of cigarette, little cigar, and waterpipe tobacco smoke condensate and e-cigarette aerosol condensate in a self-administration model. Behav Brain Res. 2019;372:112061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Harris AC, Muelken P, Smethells JR, et al. . Effects of nicotine-containing and “nicotine-free” e-cigarette refill liquids on intracranial self-stimulation in rats. Drug Alcohol Depend. 2018;185:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. LeSage MG, Staley M, Muelken P, et al. . Abuse liability assessment of an e-cigarette refill liquid using intracranial self-stimulation and self-administration models in rats. Drug Alcohol Depend. 2016;168:76–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Montanari C, Kelley LK, Kerr TM, Cole M, Gilpin NW.. Nicotine e-cigarette vapor inhalation effects on nicotine & cotinine plasma levels and somatic withdrawal signs in adult male Wistar rats. Psychopharmacology (Berl). 2020;237(3):613–625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Honeycutt SC, Garrett PI, Barraza AG, Maloy AN, Hillhouse TM.. Repeated nicotine vapor inhalation induces behavioral sensitization in male and female C57BL/6 mice. Behav Pharmacol. 2020;31(6):583–590. [DOI] [PubMed] [Google Scholar]
  • 36. D’Ruiz CD, Graff DW, Yan XS.. Nicotine delivery, tolerability and reduction of smoking urge in smokers following short-term use of one brand of electronic cigarettes. BMC Public Health. 2015;15:991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Hiler M, Breland A, Spindle T, et al. . Electronic cigarette user plasma nicotine concentration, puff topography, heart rate, and subjective effects: Influence of liquid nicotine concentration and user experience. Exp Clin Psychopharmacol. 2017;25(5):380–392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Hiler M, Karaoghlanian N, Talih S, et al. . Effects of electronic cigarette heating coil resistance and liquid nicotine concentration on user nicotine delivery, heart rate, subjective effects, puff topography, and liquid consumption. Exp Clin Psychopharmacol. Published online 2019;28:527–539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Lopez AA, Hiler MM, Soule EK, et al. . Effects of electronic cigarette liquid nicotine concentration on plasma nicotine and puff topography in tobacco cigarette smokers: A preliminary report. Blank Brose, Bullen, Cobb, Etter, Etter, Hajek, Heatherton, Keppel, Ramoa, Spindle, Talih, Vansickel, Yan B, ed. Nicotine Tob Res. 2016;18(5):720–723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Ramoa CP, Hiler MM, Spindle TR, et al. . Electronic cigarette nicotine delivery can exceed that of combustible cigarettes: A preliminary report. Bullen Behar, Bunnell, Farsalinos, Farsalinos, Grana, Hua, Keppel, King, Li, McMillen, Regan, Spindle, Talih, Vansickel, Vansickel, Yan B, ed. Tob Control An Int J. 2016;25(e1):e6–e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Baldassarri SR, Hillmer AT, Anderson JM, et al. . Use of electronic cigarettes leads to significant beta2-nicotinic acetylcholine receptor occupancy: Evidence from a PET imaging study. Nicotine Tob Res. 2018;20(4):425–433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. O’Connell G, Pritchard JD, Prue C, et al. . A randomised, open-label, cross-over clinical study to evaluate the pharmacokinetic profiles of cigarettes and e-cigarettes with nicotine salt formulations in US adult smokers. Intern Emerg Med. 2019;14(6):853–861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Perkins KA, Karelitz JL, Michael VC.. Effects of nicotine versus placebo e-cigarette use on symptom relief during initial tobacco abstinence. Exp Clin Psychopharmacol. 2017;25(4):249–254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Dawkins L, Cox S, Goniewicz M, et al. . “Real-world” compensatory behaviour with low nicotine concentration e-liquid: Subjective effects and nicotine, acrolein and formaldehyde exposure. Addiction. 2018;113(10):1874–1882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Palmer AM, Brandon TH.. How do electronic cigarettes affect cravings to smoke or vape? Parsing the influences of nicotine and expectancies using the balanced-placebo design. J Consult Clin Psychol. 2018;86(5):486–491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Tucker MR, Laugesen M, Bullen C, Grace RC.. Predicting short-term uptake of electronic cigarettes: Effects of nicotine, subjective effects, and simulated demand. Nicotine Tob Res. 2018;20(10):1265–1271. [DOI] [PubMed] [Google Scholar]
  • 47. Voos N, Kaiser L, Mahoney MC, et al. . Randomized within-subject trial to evaluate smokers’ initial perceptions, subjective effects and nicotine delivery across six vaporized nicotine products. Addiction. Published online 2019;114:1236–1248. doi: 10.1111/add.14602 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Martinez U, Martinez-Loredo V, Simmons VN, et al. . How does smoking and nicotine dependence change after onset of vaping? A retrospective analysis of dual users. Nicotine Tob Res. Published online 2019;22:764–770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Lucchiari C, Masiero M, Mazzocco K, et al. . Benefits of e-cigarettes in smoking reduction and in pulmonary health among chronic smokers undergoing a lung cancer screening program at 6 months. Addict Behav. 2020;103:106222. [DOI] [PubMed] [Google Scholar]
  • 50. Smith TT, Wahlquist AE, Heckman BW, Cummings KM, Carpenter MJ.. Impact of e-cigarette sampling on cigarette dependence and reinforcement value. Nicotine Tob Res. Published online 2018;22:297–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Dawkins L, Turner J, Hasna S, Soar K.. The electronic-cigarette: Effects on desire to smoke, withdrawal symptoms and cognition. Addict Behav. 2012;37(8):970–973. https://linkinghub.elsevier.com/retrieve/pii/S0306460312000913 [DOI] [PubMed] [Google Scholar]
  • 52. De La Garza R II, Shuman SL, Yammine L, Yoon JH, Salas R, Holst M.. A pilot study of e-cigarette naive cigarette smokers and the effects on craving after acute exposure to e-cigarettes in the laboratory. Am J Addict. 2019;28(5):361–366. https://www.ncbi.nlm.nih.gov/pubmed/31066987 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Mead EL, Duffy V, Oncken C, Litt MD.. E-cigarette palatability in smokers as a function of flavorings, nicotine content and propylthiouracil (PROP) taster phenotype. Addict Behav. 2019;91:37–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. DeVito EE, Buta E, Sofuoglu M.. E-cigarette nicotine dose and flavor: Relationship with appeal, choice, and tobacco use amongst veterans with comorbid psychiatric disorders. Addict Behav. 2019;92:53–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Palmer AM, Brandon TH.. Nicotine or expectancies? Using the balanced-placebo design to test immediate outcomes of vaping. Addict Behav. 2019;97:90–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Shang C, Weaver SR, White JS, et al. . E-cigarette product preferences among adult smokers: A discrete choice experiment. Tob Regul Sci. 2020;6(1):66–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Carpenter MJ, Heckman BW, Wahlquist AE, et al. . A naturalistic, randomized pilot trial of e-cigarettes: Uptake, exposure, and behavioral effects. Cancer Epidemiol Biomarkers Prev. 2017;26(12):1795–1803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Tseng T-Y, Ostroff JS, Campo A, et al. . A randomized trial comparing the effect of nicotine versus placebo electronic cigarettes on smoking reduction among young adult smokers. Nicotine Tob Res. 2016;18(10):1937–1943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Walker N, Parag V, Verbiest M, Laking G, Laugesen M, Bullen C.. Nicotine patches used in combination with e-cigarettes (with and without nicotine) for smoking cessation: a pragmatic, randomised trial. Lancet Respir Med. 2020;8(1):54–64. [DOI] [PubMed] [Google Scholar]
  • 60. Shihadeh A, Eissenberg Alan; ORCID: http://orcid.org/0000-0001-6387-8564 TAI-O http://orcid.org/Shihade. Electronic cigarette effectiveness and abuse liability: Predicting and regulating nicotine flux. Nicotine Tob Res. 2015;17(2):158–162. [Google Scholar]
  • 61. Giovenco DP, Hammond D, Corey CG, Ambrose BK, Delnevo CD.. E-Cigarette market trends in traditional U.S. retail channels, 2012–2013. Nicotine Tob Res. Published online 2015;17:1279–1283. doi: 10.1093/ntr/ntu282 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Harrell MB, Weaver SR, Loukas A, et al. . Flavored e-cigarette use: Characterizing youth, young adult, and adult users. Prev Med Reports. 2017;5:33–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Landry RL, Groom AL, Vu T-HT, et al. . The role of flavors in vaping initiation and satisfaction among U.S. adults. Addict Behav. 2019;99:106077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Rose SW, Johnson AL, Glasser AM, et al. . Flavour types used by youth and adult tobacco users in wave 2 of the Population Assessment of Tobacco and Health (PATH) Study 2014–2015. Tob Control. 2020;29(4):432–446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Rostron BL, Cheng Y-C, Gardner LD, Ambrose BK.. Prevalence and reasons for use of flavored cigars and ENDS among US Youth and Adults: Estimates from Wave 4 of the PATH Study, 2016–2017. Am J Health Behav. 2020;44(1):76–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Du P, Bascom R, Fan T, et al. . Changes in flavor preference in a cohort of long-term electronic cigarette users. Ann Am Thorac Soc. 2020;17(5):573–581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Russell C, McKeganey N, Dickson T, Nides M.. Changing patterns of first e-cigarette flavor used and current flavors used by 20,836 adult frequent e-cigarette users in the USA. Harm Reduct J. 2018;15(1):33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Soneji SS, Knutzen KE, Villanti AC.. Use of flavored e-cigarettes among adolescents, young adults, and older adults: Findings from the population assessment for tobacco and health study. Public Health Rep. 2019;134(3):282–292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Vu T-HT, Hart JL, Groom A, et al. . Age differences in electronic nicotine delivery systems (ENDS) usage motivations and behaviors, perceived health benefit, and intention to quit. Addict Behav. 2019;98:106054. [DOI] [PubMed] [Google Scholar]
  • 70. Bunch K, Fu M, Ballbe M, et al. . Motivation and main flavour of use, use with nicotine and dual use of electronic cigarettes in Barcelona, Spain: a cross-sectional study. BMJ Open. 2018;8(3):e018329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Chen JC, Green K, Fryer C, Borzekowski D.. Perceptions about e-cigarette flavors: A qualitative investigation of young adult cigarette smokers who use e-cigarettes. Addict Res Theory. 2019;27(5):420–428. [Google Scholar]
  • 72. Farsalinos KE, Romagna G, Tsiapras D, Kyrzopoulos S, Spyrou A, Voudris V.. Impact of flavour variability on electronic cigarette use experience: an internet survey. Int J Environ Res Public Health. 2013;10(12):7272–7282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Nguyen N, McKelvey K, Halpern-Felsher B.. Popular flavors used in alternative tobacco products among young adults. J Adolesc Heal. 2019;65(2):306–308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Schneller LM, Bansal-Travers M, Goniewicz ML, McIntosh S, Ossip D, O’Connor RJ.. Use of flavored electronic cigarette refill liquids among adults and youth in the US—Results from Wave 2 of the Population Assessment of Tobacco and Health Study (2014–2015). Matsunami H, ed. PLoS One. 2018;13(8):e0202744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Schneller LM, Bansal-Travers M, Goniewicz ML, McIntosh S, Ossip D, O’Connor RJ.. Use of flavored e-cigarettes and the type of e-cigarette devices used among adults and youth in the US—Results from Wave 3 of the population assessment of tobacco and health study (2015–2016). Int J Environ Res Public Health. 2019;16(16):2991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Russell C, Haseen F, McKeganey N.. Factors associated with past 30-day abstinence from cigarette smoking in a non-probabilistic sample of 15,456 adult established current smokers in the United States who used JUUL vapor products for three months. Harm Reduct J. 2019;16:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Leavens ELS, Stevens EM, Brett EI, Leffingwell TR, Wagener TL.. JUUL in school: JUUL electronic cigarette use patterns, reasons for use, and social normative perceptions among college student ever users. Addict Behav. 2019;99:106047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Leavens ELS, Stevens EM, Brett EI, et al. . JUUL electronic cigarette use patterns, other tobacco product use, and reasons for use among ever users: Results from a convenience sample. Addict Behav. 2019;95:178–183. [DOI] [PubMed] [Google Scholar]
  • 79. Gendall P, Hoek J.. Role of flavours in vaping uptake and cessation among New Zealand smokers and non-smokers: a cross-sectional study. Tob Control. Published online 2020;30:108–110. [DOI] [PubMed] [Google Scholar]
  • 80. Maglalang DD, Brown-Johnson C, Prochaska JJ.. Associations with E-cigarette use among Asian American and Pacific Islander young adults in California. Prev Med Rep. 2016;4:29–2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Stroud LR, Papandonatos GD, Borba K, Kehoe T, Scott-Sheldon LAJ.. Flavored electronic cigarette use, preferences, and perceptions in pregnant mothers: A correspondence analysis approach. Addict Behav. 2019;91:21–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Lee H-Y, Lin H-C, Seo D-C, Lohrmann Dong-Chul; ORCID: http://orcid.org/0000-0002-1972-6237 DKAI-O http://orcid. org/Se. Determinants associated with E-cigarette adoption and use intention among college students. Addict Behav. 2017;65:102–110. [DOI] [PubMed] [Google Scholar]
  • 83. Morean ME, Butler ER, Bold KW, et al. . Preferring more e-cigarette flavors is associated with e-cigarette use frequency among adolescents but not adults. Jeyaseelan S, ed. PLoS One. 2018;13(1):e0189015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Jones DM, Ashley DL, Weaver SR, Eriksen MP.. Flavored ENDS use among adults who have used cigarettes and ENDS, 2016–2017. Tob Regul Sci. 2019;5(6):518–531. https://www.ncbi.nlm.nih.gov/pubmed/31696149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Chen JC. Flavored e-cigarette use and cigarette smoking reduction and cessation—A large national study among young adult smokers. Subst Use Misuse. 2018;53(12):2017–2031. [DOI] [PubMed] [Google Scholar]
  • 86. Friedman AS, Xu S.. Associations of flavored e-cigarette uptake with subsequent smoking initiation and cessation. JAMA Netw Open. 2020;3(6):e203826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Tackett AP, Lechner W V., Meier E, et al. . Biochemically verified smoking cessation and vaping beliefs among vape store customers. Addiction. 2015;110(5):868–874. [DOI] [PubMed] [Google Scholar]
  • 88. Buu A, Hu Y-H, Piper ME, Lin H-C.. The association between e-cigarette use characteristics and combustible cigarette consumption and dependence symptoms: Results from a national longitudinal study. Addict Behav. 2018;84:69–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Wickham RJ, Nunes EJ, Hughley S, et al. . Evaluating oral flavorant effects on nicotine self-administration behavior and phasic dopamine signaling. Neuropharmacology. 2018;128:33–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Avelar AJ, Akers AT, Baumgard ZJ, Cooper SY, Casinelli GP, Henderson BJ.. Why flavored vape products may be attractive: Green apple tobacco flavor elicits reward-related behavior, upregulates nAChRs on VTA dopamine neurons, and alters midbrain dopamine and GABA neuron function. Neuropharmacology. 2019;158:107729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Wong AL, McElroy SM, Robinson JM, et al. . Flavor-specific enhancement of electronic cigarette liquid consumption and preference in mice. Drug Alcohol Depend. 2020;211:107995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Bagdas D, Cam B, Gul Z, et al. . Impact of menthol on oral nicotine consumption in female and male sprague dawley rats. Nicotine Tob Res. 2020;22(2):196–203. https://www.ncbi.nlm.nih.gov/pubmed/30753589 [DOI] [PubMed] [Google Scholar]
  • 93. Alsharari SD, King JR, Nordman JC, et al. . Effects of menthol on nicotine pharmacokinetic, pharmacology and dependence in mice. PLoS One. 2015;10(9):e0137070. https://www.ncbi.nlm.nih.gov/pubmed/26355604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Pang RD, Goldenson NI, Kirkpatrick M, Barrington-Trimis JL, Cho J, Leventhal AM.. Sex differences in the appeal of flavored e-cigarettes among young adult e-cigarette users. Psychol Addict Behav. 2020;34(2):303–307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. St. Helen G, Dempsey DA, Havel CM, Jacob P, Benowitz NL.. Impact of e-liquid flavors on nicotine intake and pharmacology of e-cigarettes. Drug Alcohol Depend. 2017;178:391–398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Kim H, Lim J, Buehler SS, et al. . Role of sweet and other flavours in liking and disliking of electronic cigarettes. Tob Control An Int J. 2016;25(Suppl 2):55–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Goldenson NI, Kirkpatrick MG, Barrington-Trimis JL, et al. . Effects of sweet flavorings and nicotine on the appeal and sensory properties of e-cigarettes among young adult vapers: Application of a novel methodology. Drug Alcohol Depend. 2016;168:176–180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Garrison KA, O’Malley SS, Gueorguieva R, Krishnan-Sarin S.. A fMRI study on the impact of advertising for flavored e-cigarettes on susceptible young adults. Drug Alcohol Depend. 2018;186:233–241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Bono RS, Barnes AJ, Lester RC, Cobb CO.. Effects of electronic cigarette liquid flavors and modified risk messages on perceptions and subjective effects of e-cigarettes. Health Educ Behav. 2019;46(2):197–203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Audrain-Mcgovern J, Strasser AA, Wileyto EP.. The impact of flavoring on the rewarding and reinforcing value of e-cigarettes with nicotine among young adult smokers. Drug Alcohol Depend. 2016;166:263–267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Barnes AJ, Bono RS, Lester RC, Eissenberg TE, Cobb CO.. Effect of flavors and modified risk messages on e-cigarette abuse liability. Tob Regul Sci. 2017;3(4):374–387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. St. Helen G, Shahid M, Chu S, Benowitz NL.. Impact of e-liquid flavors on e-cigarette vaping behavior. Drug Alcohol Depend. 2018;189:42–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Voos N, Smith D, Kaiser L, et al. . Effect of e-cigarette flavors on nicotine delivery and puffing topography: results from a randomized clinical trial of daily smokers. Psychopharmacology (Berl). 2020;237(2):491–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Oncken CA, Litt MD, McLaughlin LD, Burki NA.. Nicotine concentrations with electronic cigarette use: Effects of sex and flavor. Nicotine Tob Res. 2015;17(4):473–478. [DOI] [PubMed] [Google Scholar]
  • 105. Pesko MF, Kenkel DS, Wang H, Hughes JM.. The effect of potential electronic nicotine delivery system regulations on nicotine product selection. Addiction. 2016;111(4):734–744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106. Buckell J, Marti J, Sindelar JL.. Should flavours be banned in cigarettes and e-cigarettes? Evidence on adult smokers and recent quitters from a discrete choice experiment. Tob Control. Published online 2018. doi: 10.1136/tobaccocontrol-2017-054165 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Buckell J, Sindelar John; ORCID: http://orcid.org/0000-0002-4157-4217 JLAI-O http://orcid.org/Buckel. The impact of flavors, health risks, secondhand smoke and prices on young adults’ cigarette and e-cigarette choices: A discrete choice experiment. Addiction. Published online 2019:No-Specified. doi: 10.1111/add.14610 [DOI]
  • 108. Litt MD, Duffy V, Oncken C.. Cigarette smoking and electronic cigarette vaping patterns as a function of e-cigarette flavourings. Tob Control An Int J. 2016;25(Suppl 2):67–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Czoli CD, Goniewicz M, Islam T, Kotnowski K, Hammond D.. Consumer preferences for electronic cigarettes: Results from a discrete choice experiment. Tob Control An Int J. 2016;25(e1):e30–e36. [DOI] [PubMed] [Google Scholar]
  • 110. Cobb CO, Lopez AA, Soule EK, et al. . Influence of electronic cigarette liquid flavors and nicotine concentration on subjective measures of abuse liability in young adult cigarette smokers. Drug Alcohol Depend. 2019;203:27–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. DeVito EE, Jensen KP, O’Malley SS, et al. . Modulation of “protective” nicotine perception and use profile by flavorants: Preliminary findings in E-cigarettes. Nicotine Tob Res. 2020;22(5):771–781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Leventhal AM, Goldenson NI, Barrington-Trimis JL, Pang RD, Kirkpatrick MG.. Effects of non-tobacco flavors and nicotine on e-cigarette product appeal among young adult never, former, and current smokers. Drug Alcohol Depend. 2019;203:99–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Leventhal A, Cho J, Barrington-Trimis J, Pang R, Schiff S, Kirkpatrick M.. Sensory attributes of e-cigarette flavours and nicotine as mediators of interproduct differences in appeal among young adults. Tob Control. Published online 2019;9:679–686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Leventhal AM, Mason TB, Cwalina SN, Whitted L, Anderson M, Callahan C.. Flavor and Nicotine Effects on E-cigarette Appeal in Young Adults: Moderation by Reason for Vaping. Am J Health Behav. 2020;44(5):732–743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Leventhal AM, Mason TB, Kirkpatrick MG, Anderson MK, Levine MD.. E-cigarette device power moderates the effects of non-tobacco flavors and nicotine on product appeal in young adults. Addict Behav. 2020;107:106403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Rosbrook K, Green BG.. Sensory effects of menthol and nicotine in an e-cigarette. Nicotine Tob Res. 2016;18(7):1588–1595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. MacLean RR, Gueorguieva R, DeVito EE, Peltier MR, Parida S, Sofuoglu M.. The effects of inhaled flavors on intravenous nicotine. Exp Clin Psychopharmacol. Published online 2020;29:615–624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Pullicin AJ, Kim H, Brinkman MC, Buehler SS, Clark PI, Lim J.. Impacts of nicotine and flavoring on the sensory perception of e-cigarette aerosol. Nicotine Tob Res. 2019;51(9):1083–1092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Lefever TW, Thomas BF, Kovach AL, Snyder RW, Wiley JL.. Route of administration effects on nicotine discrimination in female and male mice. Drug Alcohol Depend. 2019;204:107504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Biswas L, Harrison E, Gong Y, et al. . Enhancing effect of menthol on nicotine self-administration in rats. Psychopharmacol. 2016;233(18):3417–3427. https://www.ncbi.nlm.nih.gov/pubmed/27473365 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Henderson BJ, Wall TR, Henley BM, Kim CH, McKinney S, Lester HA.. Menthol enhances nicotine reward-related behavior by potentiating nicotine-induced changes in nAChR function, nAChR upregulation, and DA neuron excitability. Neuropsychopharmacology. 2017;42(12):2285–2291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122. Kroemer NB, Veldhuizen MG, Delvy R, Patel BP, O’Malley SS, Small Nils B.; ORCID: http://orcid.org/0000-0002-9552-3781 DMAI-O http://orcid. org/Kroeme. Sweet taste potentiates the reinforcing effects of e-cigarettes. Eur Neuropsychopharmacol. 2018;28(10):1089–1102. [DOI] [PubMed] [Google Scholar]
  • 123. Gottlieb S, Zeller M.. A nicotine-focused framework for public health. N Engl J Med. 2017;377(12):1111–1114. [DOI] [PubMed] [Google Scholar]
  • 124. Pacek LR, Rass O, Sweitzer MM, Oliver JA, McClernon FJ.. Young adult dual combusted cigarette and e-cigarette users’ anticipated responses to hypothetical e-cigarette market restrictions. Subst Use Misuse. Published online 2019:No-Specified. doi: 10.1080/10826084.2019.1626435 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Goldenson NI, Ding Y, Prakash S, Hatcher C, Augustson EM, Shiffman S. (2021). Differences in switching away from smoking among adult smokers using JUUL products in regions with different maximum nicotine concentrations: North America and the United Kingdom. Nicotine Tobacco Res. 23(11), 1821–1830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126. Cobb CO, Foulds J, Yen MS, et al. . Effect of an electronic nicotine delivery system with 0, 8, or 36 mg/mL liquid nicotine versus a cigarette substitute on tobacco-related toxicant exposure: a four-arm, parallel-group, randomised, controlled trial. Lancet Respir Med. 2021;0(0). doi: 10.1016/S2213-2600(21)00022-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127. FDA. FDA finalizes enforcement policy on unauthorized flavored cartridge-based e-cigarettes that appeal to children, including fruit and mint. https://www.fda.gov/news-events/press-announcements/fda-finalizes-enforcement-policy-unauthorized-flavored-cartridge-based-e-cigarettes-appeal-children. Accessed January 17, 2020.
  • 128. Cooper SY, Akers AT, Henderson BJ.. Flavors enhance nicotine vapor self-administration in male mice. Nicotine Tob Res. 2021;23(3):566–572. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ntac073_suppl_Supplementary_Table_S1
ntac073_suppl_Supplementary_Table_S2
ntac073_suppl_Supplementary_Table_S3
ntac073_suppl_Supplementary_Table_S4
ntac073_suppl_Supplementary_Appendix
ntac073_suppl_Supplementary_Data
ntac073_suppl_Supplementary_Taxonomy-Form

Data Availability Statement

No new data were generated or analyzed in support of this research.


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