Patterns and correlates of the co-use of marijuana with any tobacco and individual tobacco products in young adults from Wave 2 of the PATH Study

Products and patterns through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis

BACKGROUND

Co-use of tobacco and cannabis is common. However, few studies have examined the temporal sequencing through which individuals initiate co-use, and how these patterns vary across age. This study addresses this gap by examining the specific products and temporal sequencing through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis. Among adolescents, young adults, and adults who co-used tobacco and cannabis in the past 30 days, we examined (a) whether tobacco or cannabis was used first in their lifetime and (b) which specific tobacco or cannabis product (e.g., nicotine e-cigarettes, cannabis edibles) was the first used.

METHODS

Data were from a cross-sectional national survey (N = 6,131, 13-40 years old) in which participants reported ever use, past-30-day-use, and order of use for 17 different tobacco and cannabis products. Results were analyzed overall and by age group (13-20; 21-24; 25-40).

RESULTS

38.4% of participants reported use of both tobacco and cannabis in the past 30 days. Among these participants, 70.9% used tobacco first in their lifetime (66.6% < 21; 71.7% 21-24; 76.6% > 24). Approximately 60% of participants who initiated co-use with tobacco reported nicotine e-cigarettes as their first tobacco product (63.3% < 21; 66.7% 21-24; 49.6% > 24).

CONCLUSIONS

The majority of participants who used both tobacco and cannabis used tobacco first in their lifetime, and nicotine e-cigarettes were the most common form of tobacco initiation, particularly among adolescents and young adults. Findings emphasize the need for co-use prevention programs to target common products of initiation.

Cannabis use and associated longitudinal transitions in electronic nicotine delivery systems use among young adults in the United States

OBJECTIVE

Cannabis is increasingly the first substance used by young people and research indicates that cannabis use may precede the onset of tobacco use. Little is known, however, about the role of cannabis use in stages of electronic nicotine delivery systems (ENDS) uptake and progression across young adulthood. This study examined the associations between past 30-day (P30D) cannabis use frequency and transitions in ENDS use among young adults.

METHODS

5,018 18-29-year-olds (64.2% female) were recruited from 24 Texas colleges to participate in a multi-wave study across a 4.5-year period from 2014 to 2019. A continuous time, multi-state Markov model was used to assess associations between P30D cannabis use frequency and three ENDS use transitions, spanning at least six months 1) never to P30D use (initiation); 2) P30D to non-P30D use (desistance); and 3) non-P30D to P30D use (re-uptake). The model also included socio-demographic and time-varying intrapersonal (other tobacco use, alcohol use, sensation seeking, depressive symptoms) and interpersonal (peer ENDS use) confounding factors.

RESULTS

Past 30-day cannabis use frequency was associated with an increased probability of ENDS initiation and decreased probability of desistance in the model adjusted for socio-demographic and confounding factors. Past 30-day cannabis use frequency was not associated with an increased probability of ENDS re-uptake in the adjusted model.

CONCLUSIONS

Cannabis use is associated with the uptake and continuation of ENDS use. Findings are concerning given that the most popular ENDS devices used by young adults contain high concentrations of nicotine that increase the risk for nicotine dependence and lifelong use.

Intention to quit or reduce e-cigarettes, cannabis, and their co-use among a school-based sample of adolescents

INTRODUCTION

Little is known about the prevalence and predictors of adolescents' intention to quit or reduce use of e-cigarettes and/or cannabis.

METHODS

Frequencies of intention to change (quit, reduce) e-cigarettes and/or cannabis use were examined among 23,915 surveyed middle and high school students with sole and co-use. Predictors of intention to change were identified via LASSO/multilevel logistic regression.

RESULTS

Among those with sole e-cigarette use (n = 543), 40.9 % intended to quit and 24.1 % intended to reduce; non-daily e-cigarette use predicted intention to quit and reduce e-cigarettes (p's < 0.03). Among those with sole cannabis use (n = 546), 10.6 % intended to quit and 25.1 % intended to reduce; absence of cannabis cravings predicted intention to reduce cannabis use (p < 0.01). Among those with co-use (n = 816), 26.2 % intended to either quit or reduce (quit/reduce) both substances, 27.5 % intended to quit/reduce e-cigarettes only, and 6.9 % intended to quit/reduce cannabis only. No predictors emerged for intention to change e-cigarette use among those with co-use (p's > 0.09), but younger age, lack of poly-tobacco use, and lack of cannabis craving predicted intention to quit/reduce cannabis use (p's < 0.04).

CONCLUSIONS

More than half of adolescents with past-month e-cigarette use, regardless of concurrent cannabis use, expressed interest in changing their use. However, only heaviness of e-cigarette use emerged as a predictor of intention to change suggesting. While fewer students expressed interest in changing their cannabis use, cannabis cravings and poly-tobacco use predicted intent to change. Overall, findings emphasize the need to tailor interventions towards adolescents engaging in more problematic substance use patterns.

Situations and roles of cannabis versus cigarette use: Integrating ecological momentary assessment with qualitative mapping interviews

Use of both cannabis and tobacco has surpassed use of tobacco alone among young adults in California. To better understand why, we collected data with 32 young adults ages 18-30 in Northern California who regularly used cigarettes and cannabis and had diverse sexual, gender, racial, and ethnic identities. Geographically-explicit ecological momentary assessment (EMA; 30 days) was integrated with qualitative mapping interviews. We found contrasting situations of use for cannabis (e.g., around other people) versus cigarettes (e.g., recent discrimination) and different reasons for why participants chose one substance over the other (e.g., enhancing experiences vs. stepping away). Understanding when and why diverse young adults choose cannabis versus cigarettes as they navigate everyday environments helps explain how cannabis and tobacco retail markets shape substance use disparities over time.

What Is (Un)Flavored? A Scoping Review of the Conceptualization of Flavored Cigarillos

INTRODUCTION

To identify how flavor is conceptualized with respect to cigarillos to illuminate areas of concordance and discordance and provide a pathway for the harmonization of tobacco flavor measurement.

AIMS AND METHODS

Three methods were used to identify research measuring flavors respective to cigarillo products including: (1) querying research databases using key words "cigarillo," "tobacco" and "flavor"/'flavour,' (2) sub-sampling of the eligible literature with backward and forward reference searching, and (3) a bibliographic search of key experts. Two reviewers independently screened titles, abstracts, and full texts. Inclusion criteria required manuscripts to be available in English, published prior to 3/1/2022, be original and peer-reviewed, and include a measure of flavor pertaining to cigarillo products. A total of 163 manuscripts met these criteria and were subsequently evaluated.

RESULTS

Cigarillo flavor determinations were made based on the presence of flavoring agents, sensory characteristics, marketing or package characteristics, pre-defined lists, the absence of any of these, and/or were undefined. Individual flavors and their related classifications were not altogether mutually exclusive due to differences in conceptualization which has evolved over time.

CONCLUSIONS

Flavor measures continue to evolve, likely in response to both tobacco control policies and industry shifts. There is a lack of standardization in flavor conceptualization that can be ameliorated through intentional integration of multiple forms of research such as identifying patterns of flavoring agents and/or marketing strategies that elicit a specific flavor profile. By doing this, we may more comprehensively evaluate the impact of flavors, their constituents, and related marketing strategies on broader population health.

IMPLICATIONS

There are discrepancies in the conceptualization of flavor in tobacco and nicotine products. The lack of standardized, definitive language limits our ability to comprehensively evaluate the population-level health impact of flavors in addition to our ability to effectively inform, implement, and enforce policies restricting flavors in tobacco and nicotine products.

Patterns of Tobacco and Cannabis Use Among Sexual Minority Females and Males From PATH Wave 5: The Role of Sociodemographic and Psychosocial Correlates

INTRODUCTION

Although sexual minority (SM; vs heterosexual) individuals display higher rates of tobacco and cannabis use, limited research has examined sociodemographic and psychosocial correlates of single and co-use among this population.

METHODS

Participants were SM-identifying female (N = 2419; Mage = 27.80; 50.0% racial/ethnic minority) and male (N = 1142; Mage = 30.34; 46.1% racial/ethnic minority) adults from Wave 5 of the Population Assessment of Tobacco and Health study. Multinomial logistic regressions examined sociodemographic (ie, sexual identity, age, race/ethnicity, education, income) and psychosocial (ie, alcohol use, mental health, substance use) correlates of single and co-use (ie, no use [referent], tobacco-only, cannabis-only, co-use), controlling for state cannabis legalization, among SM females and males, separately.

RESULTS

The proportions of SM females reporting no use, tobacco-only, cannabis-only, and co-use were 37.9%, 24.0%, 10.5%, and 27.6%, respectively. Among males, 40.6%, 27.8%, 10.1%, and 21.5% reported no use, tobacco-only, cannabis-only, and co-use, respectively. Among females and males, substance use problems were associated with all 3 use groups (vs no use); past-month alcohol use was associated with cannabis-only and co-use; and mental health symptoms were associated with co-use (and cannabis-only in males). Sociodemographic correlates among females were: tobacco-only-identifying as bisexual (vs lesbian), White (vs Black), older, lower education, and lower income; cannabis-only-bisexual, other race (vs White); and co-use-White (vs Hispanic), lower education, and lower income. Among males, sociodemographic correlates were: tobacco-only-older, lower education, and lower income; cannabis-only-Black (vs White) and higher income.

CONCLUSIONS

Public health efforts to reduce tobacco and cannabis use among SM adults should target single versus co-use patterns and their corresponding sociodemographic, mental health, and substance use profiles.

Distal and Proximal Minority Stressors on Patterns of Tobacco and Cannabis Use Among Young Bisexual Women

BACKGROUND

Bisexual women have high rates of tobacco and cannabis use, but few studies have examined co-use behavior in this population. Although the role of distal minority stressors (eg, discrimination) on substance use has been examined, fewer studies have examined proximal minority stressors (eg, negative sexual identity self-schemas). The current study was a secondary data analysis that examined patterns of tobacco and cannabis use, and the role of distal (instability of bisexuality, sexual irresponsibility of bisexual people, and hostility toward bisexual people) and proximal (illegitimacy of bisexuality, anticipated binegativity, internalized binegativity, and identity affirmation) bisexual-specific minority stressors among bisexual women.

METHODS

Participants were 224 young (aged 18-30 years old) self-identified bisexual women who reported on their past 30-day tobacco and cannabis use and completed measures of distal and proximal bisexual-specific minority stressors. Participants were categorized into one of 4 patterns: no use, tobacco use only, cannabis use only, and tobacco and cannabis co-use.

RESULTS

The most common pattern of past 30-day use was tobacco and cannabis co-use (39.1%). Results from a multinomial logistic regression revealed that bisexual women who reported higher illegitimacy of bisexuality, a proximal minority stressor, were significantly more likely to engage in tobacco and cannabis co-use, relative to no use.

DISCUSSION

Bisexual women have particularly high rates of substance use, with tobacco and cannabis co-use as the most common pattern. Incorporating the role of proximal minority stressors, and specifically, beliefs about the legitimacy of bisexuality, may be an important target of substance use interventions for bisexual women.

Emotion Regulation Moderates Associations between Discrimination and Cannabis Use Patterns among Sexual Minority Young Adult Women

Background

Sexual minority young adults (SMYAs) experience discrimination and have high cannabis use prevalence. Discrimination may be associated with cannabis use, including hazardous use and co-use with tobacco, depending on emotion regulation and gender.

Methods

Fall 2020 survey data assessed discrimination, use frequency of emotion regulation strategies (i.e., cognitive reappraisal, expressive suppression), current cannabis use, hazardous use, and cannabis-tobacco dual use among SMYAs (age 18-34) in 6 United States metropolitan areas (women: n=450, M age =24.1, SD=4.7, 69.6% bisexual, 18.2% lesbian/gay, 12.2% other; men: n=254, M age=24.7, SD=4.5, 33.5% bisexual, 54.3% gay, 12.2% other). Multivariable logistic regression examined the moderating roles of cognitive reappraisal and expressive suppression on associations of discrimination with cannabis use outcomes, stratified by gender and adjusted for age, race and ethnicity, and employment.

Results

Among SMYA women, 89.5% experienced any discrimination; 53.1% reported current cannabis use, of whom 49.4% and 47.7% reported hazardous use and cannabis-tobacco dual use, respectively. Adjusting for sociodemographics, experiencing greater discrimination was associated with greater odds of hazardous cannabis use (aOR=1.08, 95% CI [1.02, 1.15]) and cannabis-tobacco dual use (aOR=1.04, 95% CI [1.01, 1.08]) among SMYA women with greater use of expressive suppression. Among SMYA men, 83.9% experienced any discrimination; 49.2% reported current cannabis use, of whom 55.2% and 44.0% reported hazardous use and cannabis-tobacco dual use. Discrimination and emotion regulation were unrelated to cannabis use outcomes among men. Conclusions: Given high rates of discrimination experiences among SMYAs, emotion regulation skills training may empower SMYAs, particularly women, to cope with discrimination without using cannabis.

Predicting Time to Return to Cannabis Use After a Cessation Attempt: Impact of Cumulated Exposure to Nicotine-Containing Products

Objective: Cannabis is frequently co-used with tobacco/nicotine products, especially among young adults. Little is known about the effects of this co-use on cannabis cessation outcomes. Within a sample of young adults using cannabis frequently (current use of ≥5 days/week in the past 3 months), this study aimed to (a) document sources of exposure to tobacco/nicotine products, whether used simultaneously with cannabis or on different occasions, (b) examine if the level of cumulated exposure to tobacco/nicotine (self-reported or from biochemical testing) could predict time to cannabis lapse during a cannabis abstinence period, and (c) explore the relationship between nicotine/tobacco exposure and time to cannabis lapse according to tobacco cigarette smoking status. Method: Urine cotinine measures and self-reported data on use of different tobacco/nicotine products, collected from 32 participants (aged 19 to 23), were analyzed to predict time to lapse during a 2-week period of attempted abstinence from cannabis, controlling for cannabis dependence and sex. Results: Half of participants (56.3%) used at least one tobacco/nicotine product. Higher urine cotinine, representing higher cumulated tobacco/nicotine exposure, was related to a higher risk of lapsing (Hazard Ratio [HR] = 1.64; 95%CI [1.04, 2.58]). The risk of lapsing was even higher ([HR] = 3.46; 95%CI [1.17, 10.25]) among heavily tobacco/nicotine exposed (>600 ng/mL, urine cotinine) participants than among unexposed (<50 ng/mL) or lightly/moderately exposed (50-600 ng/mL) participants. Among those smoking cigarettes (solely or in combination with other products), there was no relation between cotinine level and time to lapse, likely due to a reduced variability in abstinence probability and a high likelihood of lapse observed for higher cotinine levels, mainly achieved by cigarette use. Conclusions: With a rapidly changing landscape of tobacco/nicotine use, our results underscore the need to consider all sources of tobacco/nicotine exposure to fully understand the specific and cumulative contributions of tobacco/nicotine to cannabis cessation outcomes.

Bidirectional relationships between nicotine vaping and maladaptive eating behaviors among young adults

Background

Past research indicates that young adult cigarette smokers are at risk of engaging in maladaptive eating behaviors (MEBs); however, whether this relationship extends to nicotine vaping is unclear. The current study assessed bidirectional associations between four types of MEBs and nicotine vaping among young adults.

Methods

1,303 young adults (20.5 ± 2.3 years; 63 % female) from a public, urban university were recruited and completed online surveys at six-month intervals from spring 2021 (W1) to spring 2023 (W5). Past 30-day nicotine vaping and four types of MEBs (susceptibility to external cues, emotional eating, routine restraint, and compensatory restraint) were evaluated.

Results

Longitudinal cross-lagged models examined the bidirectional relationships between past 30-day nicotine vaping and each type of MEB across five waves. Nicotine vaping predicted both susceptibility to external cues (β = 0.10, p <.05; Wave 2 to 3) and emotional eating (β = 0.08, p <.05; Wave 1 to 2). A significant cross-lag regression (Wave 4 to 5) showed nicotine vaping predicted to routine restraint (β = 0.08, p <.05), and routine restraint predicted to nicotine vaping (β = 0.12, p <.05).

Conclusions

Results indicated that nicotine vaping predicted MEBs; however, the type of MEB differed across waves, which may have been due to the COVID-19 pandemic context. Nicotine vaping predicted to MEBs reflecting vulnerability to the external environment and emotion regulation during a period of heightened restrictions, whereas later when pandemic restrictions had ceased nicotine vaping predicted only to routine restraint. Integrating research and practice on nicotine vaping and MEBs may inform public health efforts to decrease co-occurring health-risks in young adulthood.

Distress about social problems and tobacco and cannabis use outcomes among young adults in Los Angeles County

OBJECTIVE

To examine associations of concern, worry, and stress about discrimination, shootings/violence, and police brutality and exclusive and dual tobacco and cannabis use among young adults.

METHODS

A prospective, racially/ethnically diverse cohort of young adults (n = 1960) living in Los Angeles, California completed a baseline survey in 2020 (age range: 19-23) and a follow-up survey in 2021. Exploratory factor analysis (EFA) was employed on nine variables assessing levels of concern, worry, and stress about societal discrimination, societal shootings/violence, and community police brutality at baseline. Past 30-day tobacco and cannabis use at follow-up was categorized as current exclusive tobacco, exclusive cannabis, and dual tobacco and cannabis (vs never/former) use based on eleven use variables. Multinomial logistic regressions estimated adjusted associations between each factor score (translated to standard deviation units) with exclusive and dual tobacco and cannabis use.

RESULTS

The EFA produced four factor scores representing concern/worry/stress (i.e., distress) about community police brutality (F1), distress about societal shootings/violence (F2), and distress about societal discrimination (F3), as well as generalized stress about police brutality, shootings/violence, and discrimination (F4). F1, F2, and F3 were associated with subsequent exclusive current cannabis use, with F1 having the strongest association (OR: 1.35, 95% CI: 1.18-1.55), while only F1 (OR: 1.51, 95% CI: 1.27-1.78) was associated with dual tobacco and cannabis use. None of the factors were associated with exclusive tobacco use.

CONCLUSIONS

Young adult concern, worry, and/or stress about social problems may increase risk of cannabis use with or without concurrent tobacco use 6-12 months later.

Longitudinal experience of food insecurity & cigarette use in the early COVID-19 Pandemic, United States

Food insecurity is associated with cigarette smoking, yet little is known about how variability in the experience of food insecurity may relate to patterns of cigarette use. We sought to examine patterns of food insecurity and cigarette use during the COVID-19 pandemic (April 2020-March 2021). We analyzed longitudinal survey data from a nationally representative panel of adults in the United States (N = 7,880) from the Understanding Coronavirus in America Study. The primary independent variable was ten trajectories of food insecurity. Our dependent variable was past 7-day cigarette use (count of days used cigarettes). Poisson regression using generalized estimating equations was run controlling for key covariates. The prevalence of cigarette use on at least one day in the past week was lowest (17.5 %) for those who Remained Food Secure, and highest (57.9 %) among those who Became Fully Food Insecure, a group characterized by having high probability of becoming food insecure during the study period. Among those who reported at least one day of cigarette use in the past week, fewer than half (40.1 %) reported sustained use across all waves of the study. Those who Became Fully Food Insecure had an incidence rate ratio (IRR) of 1.73 (95 % CI: 1.18, 2.54) compared to those who Remained Food Secure with respect to number of smoking days. While different patterns of food insecurity are related to cigarette smoking at the population level, these results highlight that food insecurity, a key social need, may represent a novel strategy for informing reduction of tobacco use disparities.

First Used Nicotine/Cannabis Product and Associated Outcomes in Late Adolescents

BACKGROUND

Nicotine and tobacco product (NTP) and cannabis use are common in adolescence/young adulthood and increase risk for negative psychosocial outcomes. This study investigated associations among adolescent/young adults' initial experiences with NTPs, lifetime frequency of substance use, substance-related problems, and mental health symptoms.

METHOD

Adolescents and young adults enrolled in a study on NTP and cannabis use were asked at what age they initiated the use of NTPs and were assigned to groups based on which product or substance(s) they reported using at the earliest age. Participants who reported use of NTPs (in isolation, without cannabis) first (N = 78, "NTP-only"), simultaneous use of NTPs and cannabis first (e.g., blunt or bowl; N = 25, "Simult-only"), use of both NTPs in isolation and simultaneous use at the same age (N = 48, "NTP + Simult"), and no NTP use (N = 53, "NTP-naïve") were compared on substance use, substance-related problems, and mental health symptoms.

RESULTS

Groups differed on lifetime frequency of NTP, simultaneous, and cannabis use, with NTP users reporting more substance use episodes and substance-related problems than the NTP-naïve group. The lifetime frequency of cannabis use did not differ across NTP use groups. NTP use was associated with increased anxiety and depression, with no significant differences between groups.

CONCLUSIONS

Adolescents and young adults who use nicotine may be at increased risk for greater nicotine use and mental health consequences, but initiating NTP use simultaneously with cannabis may not increase the risk of negative outcomes above and beyond nicotine initiation. Prospective longitudinal research is needed to establish temporal associations between first-used NTP/cannabis products and relevant outcomes.

Longitudinal patterns of cannabis and tobacco co-administration and concurrent use among young adult college students

INTRODUCTION

Co-use, including concurrent use or co-administration, of cannabis and tobacco is most prevalent in young adulthood and associated with worse health outcomes than use of either substance alone. This study examined latent classes of tobacco and cannabis concurrent use and co-administration, and transitions between classes from 2016 to 2019, among a sample of young adult college students in Texas.

METHODS

Participants included 4,448 young adults (64.2% female, 64.7% non-white, mean age = 20.5) in a longitudinal cohort study. Measures included past 30-day use of cigarettes. hookah, cigars, ENDS, cannabis, and cannabis and tobacco co-administration. Latent Markov models were used to estimate latent class membership and transitions between classes from 2016 to 2017 and 2017 to 2019.

RESULTS

Four latent classes emerged: non-use (58% of students) characterized by low/no probability of any use; general use (19%) characterized by some level of use of all behaviors; blunt and cannabis use class (13%) characterized by high probabilities of cannabis use and co-administration with blunts; and concurrent and co-administration use (10%) with high probabilities of cigarette, cannabis, blunt, and spliff use. Most students remained in the same latent class from 2016 to 2019.

CONCLUSIONS

While most students reported low/no tobacco and cannabis co-use, those who used cannabis and/or tobacco remained in their use classes over the course of the study (2016 to 2019). Public health advocates on college campuses should consider prevention and cessation programs that incorporate the constellation of behaviors related to cannabis and tobacco co-use and educate students about the health consequences of co-use.

Patterns of use, perceptions, and cardiopulmonary health risks of cigar products: a systematic review

OBJECTIVE

A systematic review was conducted to evaluate the use patterns, health perceptions, and cardiopulmonary health effects of cigars.

DATA SOURCES

PubMed and Google Scholar were searched for peer-reviewed articles published between June 2014 and February 2021. Search keywords included cigars, cigarillos, little cigars, and cardiopulmonary health outcomes.

STUDY SELECTION

Of 782 papers identified, we excluded non-English articles, review articles, commentaries, and those without empirical data on cigars. Three coders independently reviewed all articles and compared codes to resolve discrepancies. 93 articles met the inclusion criteria and were included.

DATA SYNTHESIS

Cigars have evolved from premium cigars to encompass little cigars and cigarillos (LCCs). LCCs are available in an array of flavors and at a price advantage, and as a result, are used by different groups compared to premium cigars. LCCs are more frequently used by youth, young adults, and those who identify as Black/African American. LCCs are often used in combination with other tobacco products, alcohol, and cannabis. Despite limited regulation, cigars generate smoke of a similar composition as cigarettes. Among the studies identified, evidence suggests that cigar use is associated with cardiovascular and pulmonary toxicity. Higher all-cause and cancer-related mortalities are associated with cigar use, particularly with more frequent and deeper inhalation, compared to non-tobacco users.

CONCLUSIONS

LCCs are used more frequently by at-risk groups compared to premium cigars. Recent studies evaluating cigar cardiopulmonary health effects are limited but suggest cigars have similar health risks as conferred by cigarette smoking. With the use of LCCs and targeted marketing on the rise among high-risk groups, there is a critical need for continued research in this area.

Associations of daily alcohol, cannabis, combustible tobacco, and e-cigarette use with same-day co-use and poly-use of the other substances

BACKGROUND

Young adults frequently use alcohol, cannabis, and tobacco together. Given the increased prevalence of e-cigarette use and recreational cannabis use, we investigated daily patterns of alcohol, cannabis, and tobacco use and distinguished combustible tobacco from e-cigarettes.

METHODS

Young adult college students (N=341) reporting past-month alcohol and cannabis use "at the same time so that their effects overlapped" completed two 28-day bursts of repeated daily surveys. Exposures were day- and person-level use of each substance. Outcomes were (1) same-day co-use of each remaining substance or (2) poly-use of the other substances.

RESULTS

Daily use of alcohol, cannabis, combustible cigarettes, and e-cigarettes increased the odds of same-day co-use of the other substances (except combustible tobacco with e-cigarettes) and each poly-use outcome. The influence of person-level substance use on daily substance use was less consistent. Only e-cigarette use increased the odds of daily alcohol use. Use of either tobacco product but not alcohol increased the odds of daily cannabis use. Person-level alcohol and cannabis use increased the odds of daily use of either tobacco product but use of one tobacco product was not associated with daily use of the other product.

CONCLUSIONS

These findings increase our understanding of emerging daily patterns of alcohol, cannabis, and tobacco co-use, and the impact of different tobacco products. Future work is needed to extend this research into non-college samples and people who use tobacco but do not use alcohol and cannabis simultaneously, and examine daily chronologies of multiple substances that could serve as dynamic markers of risk.

Latent Classes of Tobacco and Cannabis Use among Youth and Young Adults in the United States

Background: Research characterizing patterns of tobacco and cannabis use by product type and route of administration among youth and young adults (YAs) is limited. Methods: We conducted latent class analysis of tobacco and cannabis use (i.e., cigarettes, electronic nicotine delivery systems (ENDS), cigars, blunts, cannabis vaping, and other cannabis use (without blunting/vaping)) among youth (ages 15-17) and YAs (ages 18-24) who used at least one product in the past 30 days, using data from the Population Assessment of Tobacco and Health Study (Wave 4, 2016-2017). We used multinomial logistic regression models to examine associations between sociodemographic characteristics and use classes. Results: The latent use classes for youth included cigarettes (2.5%), ENDS (2.6%), blunts (2.5%), other cannabis (6.3%), ENDS + cannabis vaping (2.7%), and cigarettes + cigars + other cannabis (1.5%), while the latent use classes for YAs included cigarettes (11.7%), ENDS (3.9%), blunts (5.3%), other cannabis (7.0%), cigarettes + cigars (8.2%), and cigarettes + ENDS + cannabis vaping (4.9%). We compared use classes to never/former use for youth (82.0%) and YAs (59.0%) and found that they differed by each sociodemographic characteristic. For example, non-Hispanic Black YAs had higher odds of cigarettes + cigar use compared to non-Hispanic White YAs, whereas racial/ethnic minority youth and YAs had lower odds of other dual/poly use groups compared to their non-Hispanic White counterparts. Conclusions: We observed differences in use classes by sociodemographic characteristics for youth and YAs. Health professionals must consider tobacco and cannabis use patterns when implementing prevention and cessation interventions.

Adolescent Cannabis Use During a Period of Rapid Policy Change: Evidence From the PATH Study

PURPOSE

To determine whether shifts in various state-level cannabis policies are associated with individual-level changes in adolescent cannabis use following implementation.

METHODS

We use the restricted-access youth cohort of the PATH Study, a recent, longitudinal, and nationally representative dataset, to assess whether changes in cannabis policy affect youth cannabis use. Data include respondents aged 12 to 17 years across up to six repeated observations (N = 26,673). Hybrid (between-person and within-person) panel models are used to examine adolescent past-month cannabis use.

RESULTS

Within-person effects showed that the odds of past-month cannabis use are lower (odds ratio [OR] = 0.632; p < .05) in years when a respondent's state allowed only cannabidiol (CBD) compared to years when the state had legalized medical cannabis. The odds of past-month cannabis use are lower during years when a respondent's state had decriminalized (OR = 0.617; p < .01) or criminalized (OR = 0.648; p < .05) adult recreational cannabis possession compared to years when it was legalized. These effects were robust to numerous controls, including time and state fixed effects. By contrast, significant between-person effects became nonsignificant with state fixed effects included, implying that state-level average use distinguishes average differences between states rather than policy.

DISCUSSION

Liberalized cannabis policy is significantly associated with recent adolescent cannabis use. The most consequential policy shift associated with adolescent use is from either criminalization or decriminalization of cannabis possession to legalization, such that states making these changes should consider additional prevention efforts.

Responses to pictorial versus text-only cigarillo warnings among a nationally representative sample of US young adults

BACKGROUND

The US Food and Drug Administration requires six text-only warnings for cigar products, including cigarillos. Research has demonstrated the superiority of pictorial over text-only cigarette warnings, yet the relative effectiveness of pictorial warnings for cigarillos has not been examined. We examined the impact of pictorial cigarillo warnings compared with text-only warnings.

METHODS

Data were collected from a nationally representative sample of US young adult (18-29) cigarillo users and susceptible non-users. Participants were randomised to one of three experimental conditions: text-only or one of two pictorial conditions (combined for analyses). For each warning, we assessed negative emotional reactions, cognitive elaboration (ie, thinking about cigarillo risks) and perceived message effectiveness (PME).

RESULTS

Participants (N=661) were 46.5% female, 64.7% white and 21.9% Hispanic; 34.1% reported past 30-day cigarillo use; 41.4% were lifetime users (excluding past 30-day use); and 24.4% were susceptible non-users. Pictorial warnings elicited more negative emotional reactions and higher PME than text-only warnings (p values<0.01), with interactions showing the largest effects for past 30-day users (emotional reactions: d=0.99, PME: d=0.63). For cognitive elaboration, there was no main effect of warning type, but an interaction revealed effects for past 30-day users (p<0.05, d=0.46).

CONCLUSIONS

Pictorial cigarillo warnings elicited greater negative emotional reactions and PME compared with text-only warnings. These effects and the effects on cognitive elaboration were strongest for past 30-day users. Our findings extend research on cigarette warnings to cigarillos, demonstrating that pictorial warnings are superior to text-only warnings for cigarillos in eliciting beneficial responses.

Associations Between Product Type and Intensity of Tobacco and Cannabis Co-use on the Same Day Among Young Adult Smokers: Smartphone-Based Daily-Diary Study

BACKGROUND

Co-use of tobacco and cannabis is highly prevalent among young US adults. Same-day co-use of tobacco and cannabis (ie, use of both substances on the same day) may increase the extent of use and negative health consequences among young adults. However, much remains unknown about same-day co-use of tobacco and cannabis, in part due to challenges in measuring this complex behavior. Nuanced understanding of tobacco and cannabis co-use in terms of specific products and intensity (ie, quantity of tobacco and cannabis use within a day) is critical to inform prevention and intervention efforts.

OBJECTIVE

We used a daily-diary data collection method via smartphone to capture occurrence of tobacco and cannabis co-use within a day. We examined (1) whether the same route of administration would facilitate co-use of 2 substances on the same day and (2) whether participants would use more tobacco on a day when they use more cannabis.

METHODS

This smartphone-based study collected 2891 daily assessments from 147 cigarette smokers (aged 18-26 years, n=76, 51.7% female) during 30 consecutive days. Daily assessments measured type (ie, cigarette, cigarillo, or e-cigarette) and intensity (ie, number of cigarettes or cigarillos smoked or number of times vaping e-cigarettes per day) of tobacco use and type (ie, combustible, vaporized, or edible) and intensity (ie, number of times used per day) of cannabis use. We estimated multilevel models to examine day-level associations between types of cannabis use and each type of tobacco use, as well as day-level associations between intensities of using cannabis and tobacco. All models controlled for demographic covariates, day-level alcohol use, and time effects (ie, study day and weekend vs weekday).

RESULTS

Same-day co-use was reported in 989 of the total 2891 daily assessments (34.2%). Co-use of cigarettes and combustible cannabis (885 of the 2891 daily assessments; 30.6%) was most commonly reported. Participants had higher odds of using cigarettes (adjusted odds ratio [AOR] 1.92, 95% CI 1.31-2.81) and cigarillos (AOR 244.29, 95% CI 35.51-1680.62) on days when they used combustible cannabis. Notably, participants had higher odds of using e-cigarettes on days when they used vaporized cannabis (AOR 23.21, 95% CI 8.66-62.24). Participants reported a greater intensity of using cigarettes (AOR 1.35, 95% CI 1.23-1.48), cigarillos (AOR 2.04, 95% CI 1.70-2.46), and e-cigarettes (AOR 1.48, 95% CI 1.16-1.88) on days when they used more cannabis.

CONCLUSIONS

Types and intensities of tobacco and cannabis use within a day among young adult smokers were positively correlated, including co-use of vaporized products. Prevention and intervention efforts should address co-use and pay attention to all forms of use and timeframes of co-use (eg, within a day or at the same time), including co-use of e-cigarettes and vaporized cannabis, to reduce negative health outcomes.

Temporal trends in alcohol, cannabis, and simultaneous use among 12th-grade U.S. adolescents from 2000 to 2020: Differences by sex, parental education, and race and ethnicity

BACKGROUND

Simultaneous use of alcohol and cannabis to enhance each other's effect can cause potential harm. Time trends are diverging in adolescent use of alcohol, which is declining, and cannabis, which is increasing among certain subgroups. However, little is known about trends in their simultaneous and non-simultaneous use. Racial and socioeconomic disparities are emerging in cannabis use, which may portend consequences to public health.

METHODS

The 2000 to 2020 Monitoring the Future surveys included approximately 38,000 U.S. 12th-grade students with information on simultaneous use and pertinent demographic factors. A 5-level alcohol/cannabis measure included past-year simultaneous use (i.e., alcohol and cannabis use at the same time), non-simultaneous alcohol and cannabis use, alcohol-use-only, cannabis-use-only, and no use. Multinomial logistic regressions estimated associations (adjusted relative risk ratios; aRRR) with time period (2000 to 2004, 2005 to 2009, 2010 to 2014, 2015 to 2020). Models were adjusted and included interactions with sex, race/ethnicity, and parental education.

RESULTS

Between 2000 and 2020, simultaneous alcohol/cannabis use among 12th graders decreased from 24.4% to 18.7%. From 2015 to 2020 compared to 2000 to 2004, the odds of simultaneous use (adjusted relative risk ratio (aRRR) vs. no use = 0.57, 95% CI [0.50, 0.66]) and alcohol-use-only (aRRR = 0.55, 95% CI [0.49, 0.61]) decreased, while cannabis-use-only odds increased (aRRR = 2.59, 95% CI [1.87, 3.59]). Notably, the prevalence of cannabis-use-only more than doubled from 2011 to 2019. The odds of simultaneous use, alcohol-use-only, and non-simultaneous use of alcohol and cannabis declined more rapidly among males than females, whereas the odds for cannabis-use-only increased faster for females than males. Increases in cannabis-use-only were faster for non-white adolescents.

CONCLUSION

Simultaneous use of alcohol and cannabis is declining among U.S. adolescents, but the decline is slower among females than males. Declines in simultaneous use are largely concomitant with historical declines in alcohol use, indicating that a continued focus on reducing alcohol use among adolescents and young adults has extended benefits to other adolescent substance use. However, cannabis use without any reported past-year alcohol use more than doubled in the last decade, a concerning trend.

Differential Associations between Weight Status (Obesity, Overweight, and Underweight) and Substance Use in Young Adulthood

BACKGROUND

Past evidence suggests obesity co-occurs with tobacco/nicotine, cannabis, and alcohol use in young adulthood, but whether this relationship extends to nicotine or cannabis vaping is unclear. Furthermore, differential relationships between substance use and specific weight status categories (obesity, overweight, and underweight) have not been assessed. This study assessed prevalence of tobacco/nicotine, cannabis, and alcohol use by weight status categories in young adulthood.

METHODS

Of the 1322 young adults (18-29 years; 20.5 ± 2.3 years; 63% female; 42% Hispanic/Latino/a/x, 30% Asian-American/Asian, 18% Caucasian/White, 7% Multiracial, and 2% African-American/Black) from a public, urban university were surveyed on their health-risk behaviors in the spring and fall of 2021.

RESULTS

Multinomial logistic regression models assessed six-month follow-up substance use prevalence (never, lifetime but no past 30-d use, and past 30-d use) by baseline weight status (obese, overweight, underweight; reference: healthy weight). Obesity predicted lower odds of past 30-d nicotine vaping (aOR [95% CI] = 0.27 [0.08-0.92]). Overweight predicted higher odds of lifetime combustible cannabis (aOR [95% CI] = 1.58 [1.08-2.30]) and past 30-d binge drinking (aOR [95% CI] = 1.79 [1.12-2.85]). Underweight was associated with lower odds of lifetime cannabis vaping (aOR [95% CI] = 0.35 [0.12-0.99]) and combustible cannabis (aOR [95% CI] = 0.38 [0.16-0.87]).

CONCLUSIONS

Differential relationships between obesity and overweight on tobacco/nicotine, cannabis, and alcohol use suggest greater specificity is needed when evaluating relationships between higher weight status and substance use. It appears that overweight young adults may be at higher risk of substance use than obese young adults. Greater efforts to consider multiple weight status groups, not just obese, may have significant implications for tobacco/nicotine prevention and intervention efforts targeting vulnerable populations.

Simultaneous quantification of urinary tobacco and marijuana metabolites using solid-supported liquid-liquid extraction coupled with liquid chromatography tandem mass spectrometry

Co-exposure to tobacco and marijuana has become common in areas where recreational marijuana use is legal. To assist in the determination of the combined health risks of this co-exposure, an analytical method capable of simultaneously measuring tobacco and marijuana metabolites is needed to reduce laboratory costs and the required sample volume. So far, no such analytical method exists. Thus, we developed and validated a method to simultaneously quantify urinary levels of trans-3'-hydroxycotinine (3OH-COT), cotinine (COT), and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (COOH-THC) to assess co-exposure to tobacco and marijuana. Urine (200 µL) was spiked with labelled internal standards and enzymatically hydrolyzed to liberate the conjugated analytes before extraction using solid-supported liquid-liquid extraction (SLE) with ethyl acetate serving as an eluent. The target analytes were separated on a C18 (4.6 × 100 mm, 5 μm) analytical column with a gradient mobile phase elution and analyzed using tandem mass spectrometry with multiple reaction monitoring of target ion transitions. Positive electrospray ionization (ESI) was used for 3OH-COT and COT, while negative ESI was used for COOH-THC. The total run time was 13 min. The extraction recoveries were 18.4-23.9 % (3OH-COT), 65.1-96.8 % (COT), and 80.6-95.4 % (COOH-THC). The method limits of quantification were 5.0 ng/mL (3OH-COT) and 2.5 ng/mL (COT and COOH-THC). The method showed good accuracy (82.5-98.5 %) and precision (1.22-6.21 % within-day precision and 1.42-6.26 % between-day precision). The target analytes were stable for at least 144 h inside the autosampler (10 °C). The analyses of reference materials and 146 urine samples demonstrated good method performance. The use of a 96-well plate for preparation makes the method useful for the analysis of large numbers of samples.

Characteristics of Adults Who Use Both Marijuana and E-Cigarette, or Vaping, Products: A Cross-Sectional Study, Utah, 2018

OBJECTIVES

Among young people, dual use of marijuana and e-cigarette, or vaping, products (EVPs) is linked with using more inhalant substances and other substances, and poorer mental health. To understand antecedents and potential risks of dual use in adults, we analyzed a representative adult population in Utah.

METHODS

We used data from the 2018 Utah Behavioral Risk Factor Surveillance System (n = 10 380) and multivariable logistic regression to evaluate differences in sociodemographic characteristics, comorbidities, and risk factors among adults aged ≥18 who reported currently using both EVPs (any substance) and marijuana (any intake mode), compared with a referent group of adults who used either or neither.

RESULTS

Compared with the referent group, adults using EVPs and marijuana had greater odds of being aged 18-29 (adjusted odds ratio [aOR] = 12.44; 95% CI, 6.15-25.14) or 30-39 (aOR = 3.75; 95% CI, 1.73-8.12) versus ≥40, being male (aOR = 3.29; 95% CI, 1.82-5.96) versus female, reporting ≥14 days of poor mental health in previous 30 days (aOR = 2.30; 95% CI, 1.23-4.32) versus <14 days, and reporting asthma (aOR = 2.09; 95% CI, 1.02-4.31), chronic obstructive pulmonary disorder (aOR = 2.94; 95% CI, 1.19-7.93), currently smoking cigarettes (aOR = 4.56; 95% CI, 2.63-7.93), or past-year use of prescribed chronic pain medications (aOR = 2.13; 95% CI, 1.06-4.30), all versus not.

CONCLUSIONS

Clinicians and health promotion specialists working with adults using both EVPs and marijuana should assess risk factors and comorbidities that could contribute to dual use or associated outcomes and tailor prevention messaging accordingly.

Longitudinal latent class analysis of tobacco use and correlates among young adults over a 10-year period

INTRODUCTION

We assessed patterns and correlates, including demographic characteristics, psychological factors, and social role transitions, of young adults' tobacco use over time.

METHODS

In the fall of 2010, we recruited a cohort of 3146 students from 11 colleges in North Carolina and Virginia. Participants completed baseline and at least two survey waves between 2010 and 2019.

RESULTS

The sample was 49.8% female, 15.7% non-white, and 6.6% Hispanic. Longitudinal latent class analysis revealed a five-class model with distinct patterns and correlates of tobacco use. Limited Use (52.6% of sample) had minimal use. College-Limited Combustible Tobacco Users (18.6%) had moderate probability of cigarette, cigar, and waterpipe smoking, which decreased to no use post-college. Intermittent Sustained Polytobacco Users (10.9%) had low probability of use that continued post-college. College Polytobacco with Continued Cigarette and E-Cigarette Users (14.5%) had high probability of use of cigarette smoking and increasing probability of e-cigarette, both of which continued post-college. Sustained Polytobacco Users (5.7%) had moderate probability of use of tobacco products across all waves.

CONCLUSIONS

Patterns of tobacco use varied considerably. In most classes, tobacco use was highest during freshman year and in three classes, use continued post-college. Prevention activities should focus on first-year students and target those at risk for post-college tobacco use.

Classifying risky cannabis involvement in young adults using the Marijuana Consequences Questionnaire (MACQ)

BACKGROUND

Despite the growing prevalence of cannabis use and associated consequences among U.S. young adults, relatively little is known about precisely what level of marijuana involvement may be problematic.

METHOD

With this study we sought to identify empirically-derived cut-scores for the Marijuana Consequences Questionnaire (MACQ) that would distinguish among levels of cannabis risk in a sample of young adult college students (N = 496). We also examined how these levels of cannabis risk corresponded to a variety of indicators of cannabis involvement, including frequency of use, intoxication, other measures of cannabis consequences, and indicators of more severe cannabis involvement (e.g., physiological dependence, loss of control over use, cannabis use disorder).

RESULTS

Receiver operating characteristic analyses yielded cutoffs that distinguished among three distinct levels of risk, "Low", "Moderate", and "High". These empirically derived cut scores showed strong overall differentiation among classifications, with good sensitivity and specificity. MACQ-based risk levels were validated across several indices of cannabis involvement. Cutoffs differed across genders.

CONCLUSIONS

Findings offer a new application for the MACQ, allowing for the identification of those at greatest risk. As such, this measure may be used to facilitate appropriately targeted intervention.

Impulsivity-Related Personality Traits as Predictors of E-Cigarette Use among Young Adults over Time

Introduction: There has been rising concern about e-cigarette usage among teenagers and young adults. As knowledge about the adverse health effects of e-cigarettes accumulates, it is critical to identify factors that may increase risk of vaping initiation and frequency of use. One potential risk factor known to increase risk for other substance use is impulsivity. This study tested the hypothesis that impulsivity prospectively predicts vaping over time. Methods: Active e-cigarette users (n = 137; 51.8% male; Mean age 20 years at baseline) completed 8 waves of assessment over 21 months (2017-2020). The S-UPPS-P impulse behavior scale was used at baseline to measure impulsivity, and frequency of e-cigarette, cigarette, marijuana and alcohol use was calculated at each wave thereafter. Results: Vaping frequency declined over time [Incidence Rate Ratio (IRR) = 0.92]. There were significant, stable, positive associations between e-cigarette use and lack of premeditation (IRR = 1.06) and sensation seeking (IRR = 1.09). Vaping frequency was inversely associated with negative urgency (IRR = 0.95). Positive urgency and lack of perseverance were not associated with frequency of vaping. Conclusion: These findings suggest that young adults who have higher impulsivity of certain types may use e-cigarettes more frequently. Thus, vaping interventions for young adults should address these factors to ensure the greatest impact on public health.

Age groups differences in the prevalence and popularity of individual tobacco product use in young adult and adult marijuana and tobacco co-users and tobacco-only users: Findings from Wave 4 of the population assessment of tobacco and health study

BACKGROUND

Tobacco use is high among marijuana and tobacco users, compared to tobacco-only users. This study examined the relative ranking (based on prevalence) of past 30-day tobacco product use separately across young adult and older adult past 30-day marijuana and tobacco co-users and tobacco-only users.

METHOD

Prevalence and relative ranking of past 30-day use of eight different tobacco products and blunts were examined in young adult (ages 18-24) and adults (ages 25 +) tobacco users who did and did not report past 30-day marijuana use (unweighted n = 33,644) from Wave 4 of the Population Assessment of Tobacco and Health study. Multiple logistic regressions examined increased odds of using each product in the past 30-days by marijuana and tobacco co-use.

RESULTS

Nearly half (47.9%) of past 30-day young adult tobacco users reported past 30-day marijuana use (e.g., co-use); 27.7% of adult tobacco users reported past 30-day co-use. Cigarettes were the most popular product used in the past 30-days across tobacco-only and co-users of both age groups. Rankings of all other tobacco products differed between the age groups. Among young adult co-users, blunts were ranked the second most popular product used in the past 30-days, followed by e-cigarettes, and then cigarillos/filtered cigars. Among adult co-users, blunts were ranked the fourth most popular product used in the past 30-days. Adult co-users reported significantly higher prevalence of past 30-day use of all combustible products compared to tobacco only users.

CONCLUSIONS

Co-users may be at increased risk of health consequences given high rates of combustible tobacco use.

Changes in the National Prevalence of Current E-Cigarette, Cannabis, and Dual Use among Reproductive Age Women (18-44 Years Old) in the United States, 2013-2016

Background: Electronic cigarette (e-cigarette) and cannabis (marijuana) use is rapidly increasing. Objectives: To report percentage prevalence and changes over time in current (past 30 days) e-cigarette, cannabis, and dual (concurrent) use in the population of reproductive age women (18-44 years old) in the United States. Methods: Our cross-sectional analysis involved data of 11, 004 women from Waves 1 to 3 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2016). We estimated weighted percentage prevalence and 95% confidence intervals (CIs) and changes between 2013 and 2016 in current e-cigarette, cannabis, and dual use at each wave overall and across race/ethnicity, age, education, cigarette smoking status, alcohol use, and perceived mental health. Changes were reported as p for trend. Results: Between 2013 and 2016, e-cigarette use increased 13.6% (p for trend <.001) [15.2% (95% CI:14.2, 16.2) in 2013-2014; 22.2% (95% CI: 20.2, 24.3) in 2014-2015; and 28.8% (95% CI: 26.3, 31.3) in 2015-2016]; cannabis use increased 6.2% (p for trend <.001) [23.6% (95% CI: 22.1, 25.1) in 2013-2014; 28.5% (95% CI: 26.0, 31.0) in 2014-2015; and 29.8% (95% CI: 27.9, 31.1) in 2015-2016]; and dual use declined 0.3% (p for trend <.001) [5.8% (95% CI: 5.2, 6.3) in 2013-2014; 4.8% (95% CI: 3.7, 5.8) in 2014-2015; and 5.5% (95% CI: 4.2, 6.7) in 2015-2016]. Increases and declines in prevalence varied across sociodemographic characteristics, cigarette smoking status, alcohol use, and perceived mental health. Conclusions: Continued monitoring can capture further changes in prevalence and patterns to inform targeted public health intervention programs.

Association of tobacco and marijuana use with symptoms of depression and anxiety among adolescents and young adults in Texas

INTRODUCTION

Young people with depression and/or anxiety may self-medicate with tobacco or tobacco with marijuana to reduce their symptoms. This study sought to differentiate between the use of tobacco products as intended and tobacco products modified to accommodate marijuana, and to explore their relationships with symptoms of depression and anxiety among youth and young adults.

METHODS

The study is a secondary analysis of Wave 9 (Spring 2019) data from the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) (n=2439, N=274030). Anxiety and major depressive symptoms were measured by GAD-7 and PHQ-9, respectively.

RESULTS

The odds of reporting current use of e-cigarettes without marijuana (adjusted prevalence odds ratio, APOR=2.34; 95% CI: 1.30-4.21, p=0.005) and current use of combustible tobacco without marijuana (APOR=2.99; 95% CI: 1.26-7.09, p=0.014) were significantly higher among those who reported depression/anxiety comorbidity compared to those who reported no symptoms of major depressive symptoms (MDS), anxiety or comorbidity. The odds of reporting ever use of e-cigarettes with marijuana (APOR=3.68; 95% CI: 1.69- 8.00, p=0.001), current use of e-cigarettes with marijuana (APOR=2.76; 95% CI: 1.28-5.97, p=0.01) and ever use of combustible tobacco with marijuana (APOR=3.99; 95% CI: 1.66-9.58, p=0.002) were significantly higher among those reporting only MDS compared to those who reported no symptoms of MDS, anxiety or comorbidity.

CONCLUSIONS

The study findings can have implications for intervention planning, as interventions need to address marijuana and nicotine use in tobacco products and address anxiety and depression.

Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing

Background: Perceptions of tobacco, cannabis, and electronic nicotine delivery systems (ENDS) are continually evolving in the United States. Exploring these characteristics through user generated text sources may provide novel insights into product use behavior that are challenging to identify using survey-based methods. The objective of this study was to compare the topics frequently discussed among Reddit members in cannabis, tobacco, and ENDS-specific subreddits. Methods: We collected 643,070 posts on the social media site Reddit between January 2013 and December 2018. We developed and validated an annotation scheme, achieving a high level of agreement among annotators. We then manually coded a subset of 2,630 posts for their content with relation to experiences and use of the three products of interest, and further developed word cloud representations of the words contained in these posts. Finally, we applied Latent Dirichlet Allocation (LDA) topic modeling to the 643,070 posts to identify emerging themes related to cannabis, tobacco, and ENDS products being discussed on Reddit. Results: Our manual annotation process yielded 2,148 (81.6%) posts that contained a mention(s) of either cannabis, tobacco, or ENDS with 1,537 (71.5%) of these posts mentioning cannabis, 421 (19.5%) mentioning ENDS, and 264 (12.2%) mentioning tobacco. In cannabis-specific subreddits, personal experiences with cannabis, cannabis legislation, health effects of cannabis use, methods and forms of cannabis, and the cultivation of cannabis were commonly discussed topics. The discussion in tobacco-specific subreddits often focused on the discussion of brands and types of combustible tobacco, as well as smoking cessation experiences and advice. In ENDS-specific subreddits, topics often included ENDS accessories and parts, flavors and nicotine solutions, procurement of ENDS, and the use of ENDS for smoking cessation. Conclusion: Our findings highlight the posting and participation patterns of Reddit members in cannabis, tobacco, and ENDS-specific subreddits and provide novel insights into aspects of personal use regarding these products. These findings complement epidemiologic study designs and highlight the potential of using specific subreddits to explore personal experiences with cannabis, ENDS, and tobacco products.

Nonmedical Cannabis Use: Patterns and Correlates of Use, Exposure, and Harm, and Cancer Risk

Cannabis has certain health benefits, but some people may experience harms from use. Co-use of tobacco and cannabis is common. Smoke from cannabis contains many of the same carcinogens and toxicants as the smoke from tobacco, raising concerns that cannabis smoking may be a risk factor for cancer. With growing access to and acceptance of medical and nonmedical cannabis, there is an urgent need to understand the risks and benefits of the current modes of cannabis use and how cannabis may be associated with cancer risk. This monograph summarizes a session from a National Cancer Institute Symposium on nonmedical cannabis use and cancer risk. We had 3 objectives: describe the relation between nonmedical cannabis use and cancer risk, delineate patterns and correlates of cannabis co-use with tobacco, and document potentially harmful inhalational exposure resulting from smoked and vaped cannabis. Methodological limitations in the literature and future research recommendations are provided.

Tobacco and marijuana co-use in a cohort of young adults: Patterns, correlates and reasons for co-use

BACKGROUND

As marijuana is legalized in more states, modes of administration that facilitate co-use with tobacco are growing in popularity among young adults. This study examines the prevalence, patterns, correlates, and reasons for co-use so that targeted interventions can be developed to prevent negative consequences associated with tobacco use and co-use.

METHODS

In Fall 2019, 1887 young adults, originally recruited in 2010 from 11 colleges in North Carolina and Virginia to participate in a cohort study, completed an online survey. Co-use was defined as self-reported use of marijuana and tobacco in the past month. Tobacco-only, marijuana-only and co-users were compared using regression modeling.

RESULTS

Overall, 9.3% of the sample were co-users, 7.1% tobacco-only, and 15.8% marijuana-only users. Tobacco use was associated with an increased likelihood of marijuana use and vice-versa. Co-users were more likely to use e-cigarettes and blunts to administer marijuana and less likely to use smokeless tobacco products. They were more likely to use cocaine, have less anxiety, and be heavier marijuana users than marijuana-only users. Co-users of e-cigarettes and marijuana were less likely to be daily e-cigarette users and make quit attempts than e-cigarette users that did not use marijuana. Experimentation was the primary reason for co-use of tobacco and marijuana.

CONCLUSIONS

Co-users were more likely to use modes of administration that facilitate use of both substances and have patterns of use that may impact cessation efforts. These findings highlight the importance of surveillance of co-use and the development of interventions targeting experimentation with these substances by young adults.

Prenatal exposure to tobacco and cannabis, early cannabis initiation, and daily dual use of combustible cigarettes and cannabis during young adulthood

INTRODUCTION

Daily combustible cigarette use is common among cannabis users, and dual use of cigarettes and cannabis is associated with detrimental outcomes. This study addresses gaps in the literature by examining data from the prenatal and adolescent phases of a prospective, longitudinal study to predict adult daily dual use.

METHODS

Young adult offspring (M age = 22.8 years, 53% female) from a prenatal cohort reported on combustible cigarette and cannabis use (N = 500, 58% Black, 42% White). Pathways to daily dual use were modeled using variables from the gestational and adolescent phases of the study including prenatal tobacco, alcohol, and cannabis exposures; ages at initiation of cigarettes and cannabis; and adolescent learning/memory, impulsivity, and behavior problems.

RESULTS

Prenatal cannabis and tobacco use were not directly linked to adult daily dual use of cannabis and tobacco. However, structural equation modeling revealed three significant indirect pathways from prenatal cigarette and cannabis exposures to adult daily dual use of cigarettes and cannabis via early cigarette initiation, early cannabis initiation, and adolescent behavior problems.

CONCLUSIONS

This study identified pathways from prenatal cannabis and tobacco exposure to adult daily dual use, in addition to clarifying adolescent outcomes that may be part of the pathways. In a climate of growing acceptance of cannabis use and increasing legalization of recreational use, these findings serve as a warning that early exposure to cannabis may have an important role in shaping long-term dual use of tobacco and cannabis.

Developing Pictorial Cigarillo Warnings: Insights From Focus Groups

INTRODUCTION

The Food and Drug Administration (FDA) selected six text-only warnings for cigarillos to be implemented on packaging and advertising. Pictorial warnings are more effective at discouraging cigarette use than text-only warnings, yet no research exists for cigarillos. We sought to understand what types of images might be most effectively paired with the cigarillo text warnings to inform broad principles for developing pictorial warnings, with a focus on young adults, who have the highest rate of cigarillo use.

METHODS

We conducted five focus groups with a total of N = 30 young adult cigarillo users and susceptible nonusers (53% female, 50% White, and 33% Black). Participants were shown four to eight unique images for each of the six text statements and were asked about visual-verbal congruency, emotional and cognitive reactions, and perceived effectiveness of each image. Sessions were recorded and transcribed; two investigators independently coded transcripts for emergent themes.

RESULTS

Participants reported images that were graphic or "gross" would best grab attention and discourage use of cigarillos. Participants preferred images that were a direct illustration of the information in the warning text, rather than abstract images that required more cognitive effort to understand. Participants also highlighted that including people in the images, especially youth and young adults making eye contact, helped them relate to the warnings, garner their attention, and positively influence their reactions.

CONCLUSIONS

We identified several principles to inform the selection of images to pair with the FDA-required cigarillo text statements. These insights may also apply to pictorial warnings for other tobacco products.

IMPLICATIONS

This focus group study identified principles for selecting images to develop pictorial warnings for the six FDA text-only cigarillo warnings. We found that young adult cigarillo users and susceptible nonusers preferred images that were graphic and gross, believable, congruent to the warning text, and included people. Images that match young adults' visual expectations of a disease and are emotion-provoking may be most effective in pictorial warnings and highlight challenges for developing pictorial warnings for health effects that do not have a visible health consequence.

Local variation in cannabis use patterns among young adults in the San Francisco Bay Area

This study evaluated whether neighborhood-level disorder, social cohesion, and perceived safety, were associated with days of cannabis use in the prior month in a representative sample of young adults in Alameda and San Francisco Counties in California (N = 1272). We used multiscale geographically weighted regression, modeled by county, to measure associations between cannabis use days and neighborhood attributes, adjusting for sociodemographic characteristics and self-rated health. Positive associations were found between number of cannabis use days and neighborhood disorder, and greater perceived safety. Higher levels of social cohesion predicted fewer cannabis use days. Racial/ethnic, sex and, socioeconomic compositions of participants residing in areas with significant neighborhood-level associations varied substantially, suggesting that risk factors for young adult cannabis use may be highly localized. Public health efforts in cannabis education and intervention should be tailored to fit the culture and composition of local neighborhoods.

Perceived reward from using cigarettes with alcohol or cannabis and concurrent use: A smartphone-based daily diary study

INTRODUCTION

Smoking cigarettes under the influence of alcohol or cannabis is associated with perceived pleasure. However, it is unclear whether these changes in perceived reward impact the extent of concurrent use of cigarettes with alcohol or cannabis. The current study investigated if self-reported changes in perceived reward from concurrent use of cigarettes with alcohol or cannabis are related to the extent of concurrent use in real-world contexts using a smartphone-based Ecological Momentary Assessment (EMA) study.

METHODS

The sample included 126 diverse young adult smokers in the San Francisco Bay Area who reported current alcohol or cannabis use at baseline (M = 22.8 years, 50.8% male, 40.5% sexual minority, 39.7% Non-Hispanic White). Participants completed an online baseline survey and 30 days of smartphone-based daily EMA surveys of cigarette, alcohol, and cannabis use. The baseline assessed self-reported changes in perceived pleasure of smoking cigarettes while using alcohol or cannabis separately. EMA surveys included detailed questions about concurrent use (i.e., the extent of smoking while using another substance) covering the previous day. A total of 2,600 daily assessments were analyzed using mixed models.

RESULTS

Higher perceived pleasure from smoking cigarettes while drinking alcohol or using cannabis at baseline were both associated with a greater extent of concurrent use of cigarettes with alcohol (b = 0.140; SE = 0.066; t = 2.1; p = .035) and cannabis (b = 0.136; SE = 0.058; t = 2.4; p = .019) on a given day.

CONCLUSIONS

Results suggest that perceived reward from concurrently using cigarettes with alcohol or cannabis is associated with the extent of concurrent use. Findings can inform tailored smoking cessation interventions.

Refraining from use diminishes cannabis-associated epigenetic changes in human sperm

Cannabis use alters sperm DNA methylation, but the potential reversibility of these changes is unknown. Semen samples from cannabis users and non-user controls were collected at baseline and again following a 77-day period of cannabis abstinence (one spermatogenic cycle). Users and controls did not significantly differ by demographics or semen analyses. Whole-genome bisulfite sequencing identified 163 CpG sites with significantly different DNA methylation in sperm between groups (P < 2.94 × 10^-9). Genes associated with altered CpG sites were enriched with those involved in development, including cardiogenesis and neurodevelopment. Many of the differences in sperm DNA methylation between groups were diminished after cannabis abstinence. These results indicate that sustained cannabis abstinence significantly reduces the number of sperm showing cannabis-associated alterations at genes important for early development.

Changes from 2017 to 2018 in e-cigarette use and in ever marijuana use with e-cigarettes among US adolescents: analysis of the National Youth Tobacco Survey

AIMS

To examine changes from 2017 to 2018 in e-cigarette use and ever marijuana use with e-cigarettes among US adolescents.

DESIGN

Analysis of data from the 2017 and 2018 National Youth Tobacco Survey (NYTS), cross-sectional surveys of US middle school (grades 6-8) and high school (grades 9-12) students.

SETTING

United States.

PARTICIPANTS

US adolescent population from middle school, with mean age = 12.7 [standard deviation (SD) = 1.0] years, and high school, with mean age = 16.1 (SD = 1.3) years.

MEASUREMENTS

Analysis of e-cigarette use and ever use of marijuana with e-cigarettes according to frequency of use and smoking status, comparing 2017 with 2018. Frequent smoking and e-cigarette use was defined as use for ≥ 20 of the past 30 days.

FINDINGS

Past 30 days e-cigarette use was reported by 33.1% [95% confidence interval (CI) = 29.1-37.4%] of ever/no past 30 days smokers, 68.6% (95% CI = 64.1-72.7%) of past 30 days smokers and 7.2% (95% CI = 6.3-8.2%) of never smokers in 2018 and by 19.3% (95% CI = 16.1-23.1%), 53.0% (95% CI = 46.9-58.9%) and 3.3% (95% CI = 2.7-4.4%) in 2017, respectively (all P < 0.001). Prevalence of past 30 days e-cigarette use was higher among frequent smokers (69.8%, 95% CI = 62.3-76.5% in 2018; 53.8%, 95% CI = 44.1-63.2% in 2017, P < 0.001) and lower among never smokers. Most of the latter were infrequent users, while frequent and daily e-cigarette use was 18- and 24-fold lower compared with ever smokers, respectively. Approximately half of past 30 days and 70% of frequent e-cigarette users reported ever marijuana use with e-cigarettes in both years. Past 30 days smokers were more likely to report past 30 days e-cigarette use [odds ratio (OR) = 15.79, 95% CI = 12.58-19.83 in 2018; OR = 16.11, 95% CI = 12.44-20.86 in 2017) compared with adolescents reporting no past 30 days smoking.

CONCLUSIONS

Among US adolescents, e-cigarette use increased in all smoking groups in 2018 compared with 2017. Frequent and daily e-cigarette use was far lower in never-smokers compared with ever-smokers. High prevalence of ever marijuana use with e-cigarettes was observed.

Nicotine and Toxicant Exposure Among Concurrent Users (Co-Users) of Tobacco and Cannabis

BACKGROUND

Smoking cannabis may potentially increase exposure to numerous toxic chemicals that are commonly associated with tobacco use. There is a paucity of data related to toxicant exposures among concurrent users of tobacco and cannabis (co-users).

METHODS

Data are from the Population Assessment of Tobacco and Health Study Wave 1 Biomarker Restricted-Use Files. Analyses focused on adults who provided urine samples (N = 5859). Urine samples were analyzed for biomarkers of exposure to nicotine, tobacco-specific nitrosamines, polycyclic aromatic hydrocarbons, and volatile organic compounds. Using weighted linear regression, we compared adjusted geometric mean concentrations of 15 biomarkers between user groups of various tobacco product types according to their self-reported past 30-day cannabis use.

RESULTS

Past 30-day cannabis use was similar across various types of tobacco product use subgroups (range: 13%-23%) and significantly more common compared to non-tobacco users (1.0%; p < .001). Across all groups of tobacco users, those who co-used cannabis exhibited significantly higher concentrations of the biomarker of exposure to acrylonitrile (CYMA) compared to non-cannabis users (by 39%-464%). Tobacco-cannabis co-users also showed significantly elevated levels of the biomarker of exposure to acrylamide (AAMA) compared to exclusive tobacco users, and significantly higher exposure to many polycyclic aromatic hydrocarbons (including fluorene and pyrene).

CONCLUSIONS

Co-users exhibited higher concentrations for biomarkers of exposure to many combustion byproducts, compared to exclusive tobacco users. More robust measurements of cannabis use can address potential confounding in assessments of exposures to tobacco-related constituents, and potential health effects resulting from co-use.

IMPLICATIONS

With disproportionately greater rates of cannabis use occurring among tobacco users, it is critical to consider how concurrent cannabis use may influence health-related outcomes among smokers. Our findings suggest potential additive toxicant exposures among co-users of tobacco and cannabis. Lack of consideration and measurement of cannabis use in assessing tobacco-related exposures may confound estimates thought to be attributable to tobacco, particularly for non-specific biomarkers. Assessing tobacco and cannabis use in tandem will allow for more precise measurement of outcomes related to one or both substances, and can provide additional information on potential health effects related to co-use.

The Protective Association of Trait and Ability Emotional Intelligence with Adolescent Tobacco Use

The present study is one of the first to analyze the predictive capacity of both trait and ability Emotional Intelligence (EI) based on the Mayer and Salovey model, in relation to tobacco use in a sample of Spanish adolescents. In this study, 799 students between the ages of 12 and 16 participated. A self-report on trait EI, an EI peak performance test, and questions about habits relating to tobacco use were administered. This cross-sectional study developed a quantitative and correlation-type methodology. The main results of the regression analyses, once the sex and age of the participants were controlled, revealed negative associations between the factors of clarity and emotional repair of the trait EI with respect to the variables of tobacco use, and a positive association was found for them and emotional attention. By comparison, with respect to ability EI, emotional perception and understanding were inversely related to adolescent tobacco use. These results underscore the importance of EI skills as protective factors against early initiation and subsequent tobacco abuse.

Developmental Trajectories of Tobacco/Nicotine and Cannabis Use and Patterns of Product Co-use in Young Adulthood

Introduction

Concurrent co-use of tobacco/nicotine and cannabis (T/C) products is common among young people and may increase risks for negative health and psychosocial outcomes, but little is known about developmental patterns of T/C co-use. This study aimed to identify distinct trajectory classes of concurrent T/C co-use from ages 16 to 21 and compare groups on T/C co-use behaviors in young adulthood.

Methods

Participants (n = 2497) reported T/C use on annual online surveys from 2015 to 2019 (ages 16-22). We used parallel process growth mixture models to model simultaneous trajectories of past-month cigarette, e-cigarette, smokeless tobacco, and cannabis use and identify latent classes of T/C trajectories. Classes were then compared on types and number of T/C products used and types of T/C co-use in young adulthood.

Results

Models revealed 4 T/C classes: Low/No T/C Use, Early Concurrent T/C Co-use, Late Concurrent T/C Co-use, and Tobacco Quitters/Cannabis Maintainers. Compared to other classes, the Early Concurrent T/C Co-use group-individuals with rapid progression to concurrent T/C co-use during adolescence-were more likely to report poly-tobacco use, poly-cannabis use, same-occasion sequential T/C co-use and T/C co-administration (ie, mixing T/C) of both combustible and vaping products in young adulthood.

Conclusion

Early progression to concurrent T/C co-use in adolescence is prospectively linked to poly-product use and co-use of T/C products in young adulthood. Prevention efforts targeting co-use of T/C products in adolescence may help to reduce riskier patterns of T/C use and co-use in young adulthood.

Digital health for assessment and intervention targeting tobacco and cannabis co-use

Purpose of review

This article aims to summarize current research on digital health for assessment and intervention targeting tobacco and cannabis co-use and to answer the following questions: Which digital tools have been used? Which populations have been targeted? And what are implications for future research?

Recent findings

Ecological Momentary Assessment (EMA) via text messages or interactive voice response calls has been used to capture co-use patterns within a time window or co-administration of both substances via blunts among young adults. Feasibility of multicomponent interventions targeting dual cessation of both substances among adult co-users with cannabis use disorder, delivered via smartphone apps, online, and computer modules has been demonstrated.

Summary

Digital tools, particularly those using EMAs and mobile sensors, should be expanded to assess co-use of emerging tobacco and cannabis products. Digital cessation interventions should be tailored to different groups of co-users and address specific mechanisms underlying different co-use patterns.

Use of tobacco products/devices for marijuana consumption and association with substance use problems among U.S. young adults (2015-2016)

INTRODUCTION

Given the increased availability of tobacco products and devices, rising trends of vaping, and changing marijuana policies in the United States (U.S.), this study reports the prevalence of U.S. young adults using tobacco products/devices for marijuana consumption and associations with substance use problems.

METHODS

U.S. nationally representative data from Wave 3 (2015-2016) of the Population Assessment of Tobacco and Health Study were used to assess young adults' (18-24 years old, unweighted sample = 8453) ever marijuana use and ever use of electronic nicotine delivery systems (ENDS), hookah, or cigars for marijuana consumption. A multinomial logistic regression predicted the Substance Use Problem subscale of the Global Appraisal of Individual Needs inventory categorized into low (0-1), moderate (2-3) and high (4 or more) symptoms.

RESULTS

Weighted analyses indicated about half of young adults (52.1%) had ever used marijuana. Of this group, the majority (80.1%) ever used any tobacco product/device for marijuana use including: ENDS (24.5%), hookah (25.2%), or cigar (74.0%). Ever use of tobacco products/devices for marijuana significantly predicted moderate (RRR = 1.70, p < 0.01) and high (RRR = 4.67, p < 0.01) substance use problems controlling for sex, race, employment, education, and past 30-day cigarette, cigar, ENDS, hookah, marijuana and alcohol use.

CONCLUSIONS

Use of tobacco products/devices for marijuana consumption is common among U.S. young adults and it is associated with substance use problems. A better understanding of how tobacco devices are being used to support use of both substances and the outcomes of co-use are needed to inform policy and public health interventions.

Modes of delivery in concurrent nicotine and cannabis use ("co-use") among youth: Findings from the International Tobacco Control (ITC) Survey

BACKGROUND

Cannabis use is more common among nicotine users than non-users. This study characterized concurrent use of nicotine and cannabis ("co-use") among 12,064 youth aged 16-19 years residing in Canada, the United States, and England in 2017. Methods: Data were from the ITC Youth Tobacco & Vaping Survey (Wave 1). Seven modes of cannabis delivery (MOD) were characterized by country of residence and past 30-day use of combusted tobacco and electronic cigarettes. Weighted multivariable regression models were fitted to assess the correlates of co-use and each cannabis MOD. Results: Seventy percent of cannabis users reported nicotine use. Co-users exhibited behavioral and demographic differences compared to exclusive users of either substance. "Smoking cannabis without tobacco" was the most popular form of use (78%). Use of nicotine-containing e-cigarettes was associated with "using an e-cigarette to vape cannabis oil/liquid" (aOR: 4.96, 95%CI: 2.23-11.06). Combustible tobacco use was associated with "smoking cannabis with tobacco in a joint/blunt" (aOR: 2.93, 95%CI: 1.89-4.56). Country-level differences were detected. Conclusions: Nicotine use is substantial among cannabis users, and associations exist between modes of delivery for both drugs. Results underscore the importance of studying cannabis and nicotine use concurrently, and the need to address the use of both substances in developing interventions for youth users.

Prevalence and Correlates of Concurrent and Simultaneous Cannabis and Cigarette Use among Past-Year Cannabis-Using US College Students

Background: Cannabis and tobacco use are significant public health concerns among young adults, with concurrent (in the same time period) and simultaneous (at the same time so the effects overlap) use of both substances on the rise. Few studies have examined these behaviors among college students. Objective: We examined the prevalence of concurrent and simultaneous cannabis and cigarette (combustible or electronic) use among a sample of college students and characterized the psychosocial predictors of concurrent and simultaneous use compared to using cannabis alone. Methods: Data on past-3 months cannabis and cigarette use were collected on 1352 college students who were past-year cannabis and alcohol users yielding four groups: cannabis-only users (n = 686), concurrent cannabis and cigarette users (CCAC; n = 235), simultaneous cannabis and cigarette users (SCAC; n = 293), and non-recent users of either substance (n = 138). Multinomial logistic regression analyses were utilized to predict group membership. Results: Relative to the cannabis-only group, White, compared to Non-White students, males, compared to females, frequent, compared to infrequent, alcohol users, including those who used alcohol simultaneously with cigarettes, and illicit drug users were more likely to belong to the CCAC or SCAC group. Conclusions: Findings suggest the need for unique intervention efforts to prevent onset or reduce co-use among male and White students as well as illicit drug users and frequent alcohol users.

Lifestyle characteristics of parental electronic cigarette and marijuana users: healthy or not?

Objective To assess lifestyle characteristics among parental electronic cigarette (e-cigarette), marijuana and tobacco users. Methods A total of 1214 parents (77% mothers and 23% fathers) were surveyed and categorized into five exposure groups: e-cigarette use only (1%), marijuana use only (3%), tobacco products only (10%), multi-exposed [11% (marijuana, e-cigarette and tobacco)], and non-users [75% (no e-cigarette, tobacco or marijuana)]. Results Similar to non-users, the e-cigarette group had no illicit drug use. Further, e-cigarette users were more likely, in adjusted models, to self-identify as non-smokers and exercise compared with tobacco and multi-exposed groups. Although marijuana users also had higher odds of self-identifying as non-smokers compared to tobacco and multi-exposed groups, they were more likely than non-users to drink alcohol. Conclusion E-cigarette and marijuana using parents were less likely to identify as smokers. E-cigarette users had healthier lifestyle characteristics than the other exposed groups. Clinicians should consider specifically screening for parental e-cigarette and marijuana use as assessing for only "smoking" may underrepresent first-and second-hand exposure. Additionally, clinicians should be aware that marijuana using parents are more likely to drink alcohol and should counsel accordingly.