Population-level patterns and mental health and substance use correlates of alcohol, marijuana, and tobacco use and co-use in US young adults and adults: Results from the population assessment for tobacco and health

The underrepresentation of racial/ethnic minorities in research on co-use of nicotine, alcohol, and/or cannabis via ecological momentary assessment methods: A narrative review

BACKGROUND

Co-use of nicotine, alcohol and/or cannabis is common among adults in the United States. Co-use may represent greater addiction severity than single substance use. Recent studies have examined the extent to which the frequency, order, simultaneity, motivations, and contextual factors associated with co-use differ from that of single use. Co-use has become prevalent among racial/ethnic minority individuals who exhibit distinct co-use patterns and related outcomes; however, most of these studies rely on cross-sectional or sparse longitudinal observations. Ecological momentary assessment (EMA) can illuminate such patterns and associations with time-varying contexts. This review summarizes EMA studies on co-use published from 2008 to 2023 involving racial/ethnic minority individuals and point to gaps. Our review addresses: 1) whether use of one substance leads to substitution or complementary use of another, 2) whether antecedents/contexts differ by co-use patterns and minority status, and 3) what consequences of co-use have been documented across co-use patterns or minority status.

METHODS

Search results yielded 465 articles, with 33 meeting inclusion criteria. We extracted study-level characteristics and synthesized the findings.

RESULTS

The findings largely focused on co-use patterns, categories of co-use, proximal antecedents and contexts, and consequences. Variations by minority status were rarely examined; few examined acute effects of unique experiences that may contribute to co-use among racial/ethnic minority adults.

CONCLUSIONS

The EMA literature on co-use is burgeoning in recent years and supports complementary hypothesis. More research to capture time-intensive data on experiences to contextualize the co-use among racial/ethnic minority groups with greater diversity in race/ethnicity is warranted.

Quantity of cigarettes smoked when co-used with alcohol and cannabis: Consideration of different definitions of co-use based on daily diary data

INTRODUCTION

Cigarettes are frequently co-used with alcohol and cannabis. However, definitions of co-use vary and the extent to which cigarette use changes on days with different patterns of co-use is unclear. We compared the number of cigarettes smoked on different days based on co-use patterns of cigarettes and alcohol or cannabis.

METHODS

This study analyzed 2408 smoking days collected in a 30-day smartphone-based daily diary study among 146 young adults (aged 18-26) with an oversample from sexual minority groups. Two separate multilevel models were estimated: one for cigarette and alcohol co-use and the other for cigarette and cannabis co-use. Both models examined day-level associations between the number of cigarettes smoked and 3 different types of days (smoking-only days, same-occasion co-use days, different-occasion co-use days), controlling for demographic characteristics.

RESULTS

More cigarettes were smoked on same-occasion co-use days compared to cigarette-smoking-only days for both alcohol (b=1.474, SE=0.136, t=10.8, p<.001) and cannabis (b=0.822, SE=0.209, t=3.9, p<.001). There were no significant differences in cigarettes smoked on days with co-use on the same day, but on different occasions, compared to days with smoking only.

CONCLUSIONS

Compared to days with cigarette smoking only, more cigarettes are smoked on days when cigarettes are co-used with alcohol or cannabis on the same occasion, while the same is not true for days with co-use on different occasions. Conflating different definitions of co-use may impact findings on associations between co-use and smoking behavior.

Trajectories of alcohol and cannabis use among emerging adults with a history of unstable housing: Associations with functioning over a two-year period

INTRODUCTION

Research has documented high rates of alcohol and cannabis use among emerging adults experiencing homelessness. However, little is known about trajectories of use over time or how trajectories are associated with functioning (e.g., risk behaviors, mental and physical health, social functioning, economic well-being).

METHODS

Data come from a cohort of 18-25 year olds experiencing homelessness who were surveyed 5 times over 24 months. Parallel process growth mixture models were used to model heterogeneity in alcohol and cannabis use across the 5 timepoints, which allowed for the extraction of classes based on both alcohol and cannabis use trajectories. Classes were compared on demographics and functioning at baseline and 24-months.

RESULTS

Two trajectory classes of alcohol and cannabis use emerged: moderate decreasing cannabis and low stable alcohol use (75% of the sample) and heavy cannabis and alcohol use (25% of the sample). The heavy cannabis and alcohol use class reported a significantly higher likelihood for any non-cannabis drug use at baseline and 24-months, as well as greater depression and physical ailments at 24-months. In addition, at 24-months this class had a marginally higher likelihood of a positive screen for at least moderate anxiety and being recently unhoused.

CONCLUSIONS

The effects of heavy continued cannabis and alcohol co-use on multiple domains of functioning (e.g., risk behavior, mental and physical health) highlight the importance of a coordinated systems approach that addresses the often complex and interrelated challenges facing emerging adults with a history of homelessness.

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.

Latent Class Groups of Concurrent Substance Use Among Adolescents in an Urban Community: Correlates With Mental Health, Access to Drugs and Alcohol, and Risk Perception

BACKGROUND

Concurrent substance use among adolescents has been associated with an increase in physical and mental health problems. These outcomes tend to be exacerbated among adolescents of color in underserved urban settings. The purpose of this study was to understand alcohol and concurrent drug use patterns among adolescents in an underserved urban community to provide targeted prevention and treatment recommendations.

METHOD

This study examined data among adolescents in an underserved urban community (N = 1789; 56.90% female; 70.86% Hispanic/Latino/a; meanage = 15.96 ± 1.56). Using latent class analysis (LCA) and multinomial logistic regression modeling, analyses identified independent correlates of latent class membership.

RESULTS

Five latent classes (LC) were identified including LC group 1: Predominant alcohol use and limited to no concurrent-drug use (n = 213; 11.9%); LC group 2: Concurrent drug and alcohol use including methamphetamine, marijuana and synthetic marijuana use, and alcohol use (n = 74; 4.2%); LC group 3: Concurrent drug and alcohol use, with no marijuana use (n = 204; 11.39%); LC group 4: High Concurrent drug use and alcohol use (n = 204; 11.40%); and LC group 5: Concurrent drug use without alcohol use (n = 1101; 61.52%). Significant between group differences were noted between latent class groups and sociodemographic characteristics. Multinomial logistic regression models identified the associations between sociodemographic characteristics and corollary clinical features of substance use on latent class groupings of alcohol and concurrent drug use.

CONCLUSION

Understanding concurrent substance use LC groups among adolescents is essential to providing targeted interventions and treatment programs, as well as early intervention programs that may help reduce substance use during adolescence.

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.

Parameters of EMA Compliance and Self-Reported Reactivity in a Longitudinal Study of Young Adult Cannabis and Tobacco Co-Users

Background

Co-use of cannabis and tobacco has become increasingly popular among young adults. Interactive voice response (IVR) based ecological momentary assessment (EMA) allows for measurement of behavior in or near real-time, but has limitations including non-compliance, missing data, and potential for reactivity (e.g., behavior change) from frequent assessments.

Methods

This study examined tobacco and cannabis use characteristics and factors associated with IVR compliance and self-reported reactivity in 97 young adults who reported cannabis and tobacco co-use at baseline and completed daily IVR surveys of co-use behavior at three random times per day for 28 days.

Results

Overall IVR compliance was 55%, with a modal compliance of 60%. Compliance rates did not differ across morning, midday, and evening surveys, but significantly declined over time. The sample was divided into high frequency responders (>70% calls completed, n=35) and low frequency responders (<70%, calls completed n=62). There were no differences between high and low frequency responders on any baseline demographic, tobacco use (nicotine dependence severity), alcohol, or cannabis use characteristics (past 30-day frequency of use). Participants were receptive to IVR-based EMA monitoring and, 16.5% reported purposely decreasing nicotine/tobacco use due to monitoring, while 19.6% reported purposely decreasing cannabis use, which predicted lower cannabis use post-EMA monitoring.

Conclusions

Real-time assessment of co-use behavior among young adults does not appear to be impacted by specific demographics or substance use severity (nicotine dependence, heavy drinking). Data suggest some predictive utility of IVR-based EMA monitoring on short-term behavior change. More intensive approaches are needed to improve compliance among young adult cannabis and tobacco co-users.

First use of cannabis compared to first use of alcohol and tobacco: Associations with single and poly-substance use behavior

INTRODUCTION

Young adults report high rates of current cannabis use. The proliferation of legalized cannabis in the US has led to greater access and availability, causing cannabis to become the new "gateway" drug. This study examined the prevalence of trying cannabis before alcohol or tobacco and the association of initiation with cannabis first with single and poly-substance use in young adults.

METHODS

METHODS: Data were analyzed from young adults (n=8062) in Waves 1 through 5 (2013-2019) of the Population Assessment of Tobacco and Health study who had ever tried alcohol, cannabis, or tobacco and provided age at first use of these substances. Weighted multivariable models examined associations between cannabis initiation before, at the same age, or after initiating alcohol or tobacco use with past 30-day substance use (alcohol, cannabis, tobacco, poly-substance use) in a subsequent wave (Waves 2-5).

RESULTS

Initiating cannabis before alcohol and tobacco (6%) was rare. In adjusted regression models, initiating cannabis before alcohol and tobacco was associated with increased odds of past 30-day cannabis use, past 30-day tobacco use, and past 30-day polysubstance use and decreased odds of past 30-day alcohol use. Initiating cannabis at the same age as either alcohol or tobacco, or trying cannabis after these substances was associated with increased odds of all substance use outcomes.

CONCLUSIONS

Cannabis initiation before alcohol and tobacco is uncommon and may even protect against future alcohol use. Deterring cannabis initiation with multiple substances could have public health benefits.

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

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

Associations between relative deprivation with opioid use among working-age adults during the great recession

Recessions, poverty, and unemployment have been associated with opioid use. However, these measures of financial hardship may be imprecise, limiting our ability to understand this relationship. We tested associations between relative deprivation and non-medical prescription opioid use (NMPOU) and heroin use among working-age adults (ages 18-64) during the Great Recession. Our sample included working-age adults in the 2005-2013 United States National Survey of Drug Use and Health (n = 320,186). Relative deprivation compared the lowest limit of participants' income category to the national 25th percentile individual income for people with similar socio-demographic characteristics (race and ethnicity, gender, year). We distinguished the period before (1/2005-11/2007), during (12/2007-06/2009), and after (07/2007-12/2013) the Great Recession. We estimated odds of past-year NMPOU and heroin use for each past-year exposure (i.e., relative deprivation, poverty, unemployment) using separate logistic regressions adjusting for individual-level covariates (gender, age, race/ethnicity, marital status, and education) and national-level annual Gini coefficient. Our results show that NMPOU was higher among people experiencing relative deprivation (aOR = 1.13, 95% CI = 1.06-1.20), poverty (aOR = 1.22, 95% CI = 1.16-1.29), and unemployment (aOR = 1.42, 95% CI = 1.32-1.53) between 2005 and 2013, as was heroin use (aORs = 2.54, 2.09, 3.55, respectively). The association between relative deprivation and NMPOU was modified by recession timing, and was significantly higher after the Recession (aOR = 1.21, 95% CI = 1.11-1.33). Relative deprivation was associated with higher odds of NMPOU and heroin use, and higher odds of NMPOU after the Great Recession. Our findings suggest contextual-level factors may modify the relationship between relative deprivation and opioid use, and support the need for new measures of financial hardship.

Latent Classes of Perceived Addictiveness Predict Marijuana, Alcohol, and Tobacco Use in Youth and Young Adults

Background: Mass media substance use prevention efforts target addiction perceptions in young people. This study examined youth and young adults' (YAs) perceived addictiveness across several substances and the associations between addiction perceptions and substance use. Methods: Data were collected in 2019 in an online cohort study of Vermonters aged 12-25. Latent class analyses grouped participants by perceived addictiveness of nicotine, caffeine, alcohol, marijuana, cigarettes, electronic vapor products (EVPs), and opioids. Bivariate multinomial logistic and modified Poisson regression estimated associations between sociodemographics, substance use correlates, and subsequent use across latent classes. Results: Four latent classes captured addiction perceptions: high perceived addictiveness of EVPs, cigarettes, marijuana, and alcohol (Class 1: n = 317; 31.3%), low perceived addictiveness of marijuana, alcohol, and caffeine (Class 2: n = 151; 14.3%), low perceived addictiveness of marijuana (Class 3: n = 581; 46.5%), and low perceived addictiveness of nicotine, cigarettes, and EVPs (Class 4: n = 83; 7.9%). For each year increase in age, there was a 36% increased likelihood of being in Class 2 (vs. Class 1) and a 148% increased likelihood of belonging to Class 3 (vs. Class 1). Low perceived addictiveness classes were associated with ever and past 30-day marijuana and alcohol use and predicted past 30-day alcohol use at three-month follow-up. Membership in Classes 2 and 3 also predicted past 30-day marijuana use at Wave 3. Discussion: The strong association between age and latent classes defined by low perceived addictiveness suggests age group differences in addiction perceptions. Findings suggest that YAs may benefit from prevention messaging on addictiveness.

Factors Associated with Self-Reported Changes in Alcohol Use among Young Adults during the COVID-19 Pandemic: A Comparative Analysis between Canada and France

While the COVID-19 pandemic impacted young adults' alcohol use patterns, little is known about how changes in alcohol use may differ across different settings. Our objective was to identify and compare factors associated with changes in alcohol use among young adults in Canada and France during the first year of the COVID-19 pandemic. We conducted an online cross-sectional survey in October-December 2020 with young adults aged 18-29 (n = 5185) in Canada and France. In each country, weighted multinomial logistic regressions were performed to identify factors associated with self-reported decrease and increase in alcohol use separately (reference: no change). Respectively, 33.4% and 21.4% reported an increase in alcohol use in Canada and France, while 22.9% and 33.5% reported a decrease. Being 25-29 was a predictor of decrease in Canada, while living away from family was associated with an increase in France. In both countries, participants were more likely to report an increase if they reported depressive symptoms, smoking tobacco, or cannabis use. Conversely, those who had been tested for COVID-19 and those who were highly compliant with COVID-19 preventive measures were more likely to report a decrease. Efforts are needed to develop alcohol use interventions for young adults, including in ways that prioritize those with mental health challenges.

Understanding the Psychological Well-Being of International Arrivals in a Purpose-Designed Australian COVID-19 Quarantine Facility

Equivocal evidence suggests that mandatory supervised quarantine can negatively affect psychological well-being in some settings. It was unclear if COVID-19 supervised quarantine was associated with psychological distress in Australia. The sociodemographic characteristics associated with distress and the lived experiences of quarantine are also poorly understood. Therefore, this study aimed to evaluate the mental well-being of international arrivals undergoing supervised COVID quarantine in a purpose designed facility in the Northern Territory, Australia. We conducted a concurrent triangulation mixed-methods study comprising of an observational cross-sectional survey (n = 117) and individual qualitative interviews (n = 26). The results revealed that several factors were associated with distress, including significantly higher levels of depression for those who smoked, drank alcohol, had pre-existing mental health conditions and had no social networks in quarantine. Levels of psychological distress were also related to waiting time for re-entry (the time between applying to repatriate and returning to Australia) and flight origin. Qualitative data showed that despite quarantine being viewed as necessary, unclear communication and a perception of lack of control were affecting emotional well-being. This information is useful to inform the further development of models to identify those at most risk and support psychological well-being in quarantine settings.

Simultaneous use of alcohol and cigarettes in a mixed psychiatric sample: Daily-life associations with smoking motives, craving, stimulation, sedation, and affect

Co-use of alcohol and cigarettes is common and associated with greater negative consequences compared to use of either substance alone. Furthermore, alcohol and cigarettes are often used at the same time, and these "simultaneous" use events are associated with greater consumption of each substance. Given the prevalence and negative consequences associated with this pattern, we sought to identify proximal predictors and reinforcers of simultaneous use in individuals with a range of emotional and behavioral dysregulation who may be at greater risk of experiencing substance-related problems. Specifically, 41 adults who drank alcohol and smoked cigarettes (28 with borderline personality disorder and 13 community individuals) completed 21 days of ecological momentary assessment (EMA). First, we used multilevel models on cigarette-use moments to examine whether momentary cigarette motive endorsement differed based on whether participants were also drinking alcohol in that moment. Second, we used multilevel models on all EMA moments to examine whether simultaneous use was associated with greater craving and reinforcing effects compared to use of either substance alone. Participants reported greater enhancement and social motives for smoking cigarettes when also drinking alcohol compared to when they were only smoking. Participants also reported greater alcohol craving, greater sedation, attenuated positive affect, and greater fear following simultaneous use compared to use of either substance alone. Our results add to a growing body of research characterizing proximal influences on simultaneous substance use. Findings highlight potential treatment targets for individuals seeking to better understand or cut down on their use of alcohol, cigarettes, or both. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Diminished Structural Brain Integrity in Long-term Cannabis Users Reflects a History of Polysubstance Use

BACKGROUND

Cannabis legalization and use are outpacing our understanding of its long-term effects on brain and behavior, which is fundamental for effective policy and health practices. Existing studies are limited by small samples, cross-sectional measures, failure to separate long-term from recreational use, and inadequate control for other substance use. Here, we address these limitations by determining the structural brain integrity of long-term cannabis users in the Dunedin Study, a longitudinal investigation of a population-representative birth cohort followed to midlife.

METHODS

We leveraged prospective measures of cannabis, alcohol, tobacco, and other illicit drug use in addition to structural neuroimaging in 875 study members at age 45 to test for differences in both global and regional gray and white matter integrity between long-term cannabis users and lifelong nonusers. We additionally tested for dose-response associations between continuous measures of cannabis use and brain structure, including careful adjustments for use of other substances.

RESULTS

Long-term cannabis users had a thinner cortex, smaller subcortical gray matter volumes, and higher machine learning-predicted brain age than nonusers. However, these differences in structural brain integrity were explained by the propensity of long-term cannabis users to engage in polysubstance use, especially with alcohol and tobacco.

CONCLUSIONS

These findings suggest that diminished midlife structural brain integrity in long-term cannabis users reflects a broader pattern of polysubstance use, underlining the importance of understanding comorbid substance use in efforts to curb the negative effects of cannabis on brain and behavior as well as establish more effective policy and health practices.

Prevalence of Mental Health and Social Connection among Patients Seeking Tobacco Dependence Management: A Pilot Study

INTRODUCTION

with regards to tobacco dependence management, there are certain barriers to successful smoking cessation for patients, such as untreated anxiety and depression. Complicating the impact of mental health morbidities on tobacco dependence may be the significant portion of patients whose mental health issues and limited social connections are undiagnosed and unaddressed. We hypothesize that patients with no prior mental health diagnoses who are treated for tobacco dependence have high rates of undiagnosed mental health morbidities.

METHODS

patients were recruited from a tobacco treatment clinic in 2021. Every patient who came for an inaugural visit without a prior diagnosis of mental health disease was screened for depression, anxiety, social isolation and loneliness. Sociodemographic variables were collected.

RESULTS

over a 12-month period, 114 patients were seen at the tobacco treatment clinic. Of these 114 patients, 77 (67.5%) did not have a prior diagnosis of a mental health disease. The mean age was 54.3 ± 11.2 years, 52 (67.5%) were females, and 64 (83.1%) were Black/African American. The mean age of starting smoking was 19.3 ± 5.2 years, and 43 (55.8%) had never attempted to quit smoking in the past. With regards to mental health screening, 32 (41.6%) patients had a score of 9 or greater on the Patient Health Questionnaire (PHQ) 9, 59 (76.6%) had a score of 7 or greater on the Generalized Anxiety Disorder (GAD) 7, 67 (87.0%) were identified with social isolation and 70 (90.1%) for loneliness on screening.

CONCLUSION

there was a high prevalence of undiagnosed mental health morbidities and social disconnection in patients who were actively smoking and were struggling to achieve smoking cessation. While a larger scale study is necessary to reaffirm these results, screening for mental health morbidities and social disconnection may be warranted in order to provide effective tobacco dependence management.

Using Young Adult Language to Describe the Effects of Simultaneous Alcohol and Marijuana Use: Implications for Assessment

Introduction: Prevalence of alcohol and marijuana use is highest in young adulthood and an increasing number of young adults report simultaneous alcohol and marijuana (SAM) use, which is consistently linked with numerous negative consequences. To better understand reasons for engaging in SAM use and to refine measurement of subjective effects of SAM use, this study aimed to identify (1) how young adults describe subjective experiences during a SAM use occasion and (2) how language describing subjective effects changes as a function of level of alcohol and marijuana use. Methods: Using Amazon's Mechanical Turk (MTurk), 323 participants (53.6% women, 68.4% White, M age = 23.0 years) who reported past-month heavy episodic drinking and past-month SAM use were asked to list words to describe how they feel when using only alcohol, only marijuana, and various combinations of alcohol and marijuana. Results: SAM use language varied as a function of age and substance use behavior but was not associated with sex or race. Large differences in the terms used to describe subjective effects were observed when comparing different combinations of alcohol and marijuana use; most notably the term "cross-faded" appeared primarily when engaging at the heaviest combinations of alcohol and marijuana. Conclusion: Young adults have a wide range of vocabulary for describing subjective effects of SAM use, and subjective effects vary as a function of the level of each substance used. Future research should consider integrating such contemporary language when measuring subjective effects of SAM use.

Non-daily Cigarette Smoking: Stability and Transition to Abstinence in Young Adults

INTRODUCTION

There is increasing recognition that non-daily cigarette smoking is common in early adulthood but less is known about its stability over time, or what influences transitions to heavier or nonsmoking. We examined the stability of non-daily smoking in a sample of young adults, and tested whether social and cognitive factors predicted transitions to other smoking patterns over time.

AIMS AND METHODS

Participants were 579 young adults (18-24 years old at enrollment, 52% male) who were non-daily and never-daily cigarette smokers and California residents. Participants completed 13 waves of assessment over 3 years. We used descriptive statistics to evaluate the frequency of consistent abstinence, defined as no cigarette use at two consecutive waves and no cigarette use at any subsequent waves. Cox and logistic regression were used to test predictors of consistent abstinence.

RESULTS

We found that 55% of participants smoked intermittently throughout the study, while 43% were consistently abstinent by the end of the study; few transitioned to daily smoking. Stopping smoking was associated with having fewer smoking friends, smoking less in social situations, having lower positive reinforcement expectancies for smoking, and having stronger intent to quit. Post hoc analyses indicated those who stopped smoking tended to report reductions in positive reinforcement expectancies and increased intent to quit in the 6 months before stopping.

CONCLUSIONS

Findings suggest a substantial minority of young adult non-daily smokers may stop on their own, but that the majority continue smoking and may require intervention. Interventions for this population should address social motives and reinforcement expectancies.

IMPLICATIONS

The majority of young adults who are non-daily cigarette smokers appear to maintain this habit over an extended period and may require intervention. Interventions that focus on reducing expectancies for positive effects of and social motives for cigarette use and on increasing intent to quit smoking may be most effective.

Simultaneous alcohol and marijuana use among college students in the United States, 2006-2019

•

US college students’ simultaneous alcohol and marijuana (SAM) use rate was rising.

•

There was an upward trend of SAM use among Black college students (2006–2019).

•

Hispanic and Asian American/Pacific Islander students’ trend remained stable.

Objective

Simultaneous alcohol and marijuana (SAM) use exposes college students to a myriad of adverse consequences. However, there is no recent nationally representative study on SAM use among college students in the United States (US). To provide an update to the literature, the present study aimed to examine the trends, prevalence, and correlates of SAM use among US college students between 2006 and 2019, using nationally representative data.

Method

We used data from the 2006–2019 National Survey on Drug Use and Health (NSDUH) and the analytic sample was limited to the 55,669 full-time college student respondents (ages 18–22). Using logistic regression analysis, we assessed trends in SAM use prevalence and examined sociodemographic and psycho-social-behavioral correlates of SAM use.

Results

The proportion of US college students who reported SAM use increased significantly from 8.13% (2006–2010) to 8.44% (2015–2019). However, examination by race/ethnicity revealed that the increasing trend was largely driven by Black college students, whose SAM use prevalence increased significantly from 5.50% (2006–2010) to 9.30% (2015–2019), reflecting a 69.09% increase. SAM use rates did not change significantly among other racial/ethnic groups.

Conclusions

This study uncovered an upward trend and prevalence of SAM use among US college students, calling for more research and public health interventions in this area. At-risk subgroups that warrant more attention include college students who are Black, female, above the legal drinking age, have a lower than $20,000 household income, and reside in small metropolitan areas.

Smoking trajectories from adolescence to early adulthood as a longitudinal predictor of mental health in adulthood: evidence from 21 years of a nationally representative cohort

AIMS

To measure the prospective relationship between smoking trajectories from adolescence to young adulthood and mental health in later adulthood and test whether this relationship was mediated by concurrent co-use of alcohol and marijuana.

DESIGN

Longitudinal study using data drawn from rounds 1 to 18 of the National Longitudinal Survey of Youth 1997 (NLSY97), a nationally representative cohort study spanning 21 years.

SETTING

United States.

PARTICIPANTS

The analytical sample included those who completed survey items about smoking behaviors on at least half the data collection opportunities in adolescence and young adulthood (n = 8570, 48.9% female, 66.2% white).

MEASUREMENTS

Mental health in adulthood was measured using the five-item Mental Health Inventory (MHI-5; range = 0-100) at round 18. Seven trajectories of smoking from adolescence to young adulthood were identified by group-based multi-trajectory modeling, using data over 11 years from rounds 1 to 11.

FINDINGS

Late-onset moderate smokers [β = -1.95, 95% confidence interval (CI) = -3.61 to -0.29], late-onset accelerated smokers (β = -2.53, 95% CI = -4.28 to -0.78), early-onset heavy smokers (β = -3.72, 95% CI = -5.59 to -1.85) and early-onset moderate smokers (β = -2.66, 95% CI = -4.48 to -0.84) showed poorer regression-adjusted mean MHI-5 scores in later adulthood than stable abstainers, even after controlling for baseline mental health and covariates. Whether or not a difference in MHI-5 scores was present between quitters and stable abstainers was inconclusive. The concurrent co-use of alcohol and marijuana in young adulthood significantly mediated the relationship between smoking trajectory and mental health.

CONCLUSIONS

Continued smoking, especially early-onset and heavy smoking from adolescence to young adulthood, appears to increase the risk of poor mental health later in mid-adulthood, and quitting smoking in young adulthood may mitigate such risk even among early-onset smokers. Mediation analyses underscore the role of using multiple substances in this pathway.

Mediational pathways of tobacco use among adult daily smokers with psychiatric symptoms in the Population Assessment of Tobacco and Health (PATH) survey

INTRODUCTION

Individuals with psychiatric conditions suffer disproportionately from tobacco-related morbidity and mortality, but the factors driving this relationship remain unclear. We used data from the Population Assessment of Tobacco and Health (PATH) to investigate whether associations between internalizing psychiatric symptoms and change in smoking heaviness (as measured by cigarettes per day (CPD) were mediated by self-reported respiratory symptoms, smoking risk perceptions, and cigarette dependence.

METHODS

This study used data from PATH Waves 1 through 4 (2013-2017, n = 4,152). Psychiatric symptoms were indexed with the internalizing sub-scale of the Global Appraisal of Individual Needs-Short Screener (GAIN-SS) among daily smokers. We fit auto-regressive structural equation models (SEM) to data from Wave 1-3 and 2-4 to determine the direct and indirect associations between internalizing symptom scores and CPD through each mediator.

RESULTS

The association between internalizing symptoms and CPD was mediated by cigarette dependence (indirect: B = 0.004, SE = 0.041, p = 0.023) and respiratory symptom severity (indirect: B = 0.018, SE = 0.097, p < 0.001). Internalizing symptoms predicted higher harm perceptions (B = 0.056, SE = 0.035, p < 0.001) but the indirect relationship with CPD was non-significant. Findings from Waves 2-4 replicated these results.

CONCLUSION

Our results indicate that cigarette dependence and respiratory symptom severity partially mediate the relationship between internalizing symptoms and CPD but risk perceptions were not significant predictors in our models. This suggests that efforts to reduce smoking among people with internalizing disorders should focus on decreasing nicotine dependence and increasing awareness of respiratory symptoms to encourage a quit attempt or switch to a less harmful source of nicotine.

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.

Sociodemographic differences in patterns of nicotine and cannabis vaping among US adults

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About half (54.2%) of adults who used electronic vapor products (EVPs) vaped nicotine only.

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Only 7.4% of adults who used EVPs vaped cannabis only, while one-fourth (23.8%) vaped nicotine and cannabis.

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Patterns of nicotine and cannabis vaping differed by age, race/ethnicity, education, and sexual orientation.

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Vaping nicotine and cannabis and cannabis only was more common among young adults.

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Vaping cannabis only was more common among Hispanic and non-Hispanic Black adults.

Nicotine and cannabis vaping has increased over the past several years. While patterns of cigarette and cannabis co-use are well-documented, less is known about the intersection between nicotine and cannabis vaping, especially among adults. Thus, we categorized nicotine and cannabis vaping among adults (18+) who currently (past 30-day) used electronic vapor products (EVPs) from Wave 4 of the Population Assessment of Tobacco and Health Study (n = 3795) as: 1) nicotine only, 2) cannabis only, 3) nicotine and cannabis, and 4) non-nicotine/non-cannabis e-liquid. We calculated vaping pattern proportions overall and by sociodemographic characteristics. Adjusted multinomial logistic regression models assessed associations between sociodemographic characteristics and vaping categories relative to nicotine-only vaping. Approximately half (54.2%) of adults who currently used EVPs vaped nicotine only, 7.4% vaped cannabis only, 23.8% vaped nicotine and cannabis, and 14.6% vaped non-nicotine/non-cannabis e-liquid. Young adults (aged 18–24) (vs. adults aged 35+) had at least three-fold greater odds of vaping cannabis only, nicotine and cannabis, and non-nicotine/non-cannabis e-liquid, compared to nicotine only. Hispanic and non-Hispanic Black (vs. non-Hispanic White) adults had 2.5–3 times greater odds of vaping cannabis only and non-nicotine/non-cannabis e-liquid, compared to nicotine only. Sexual minority adults (vs. heterosexual adults) had 1.5 times greater odds of vaping nicotine and cannabis, compared to nicotine only. Nearly half of adults who vaped EVPs consumed something other than nicotine only, and nicotine/cannabis vaping patterns differed by sociodemographic groups. Vaping and nicotine reduction efforts must recognize that adults who currently vape may be vaping cannabis, or neither nicotine nor cannabis.

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.

Age of Initiation of Dual Tobacco Use and Binge Drinking among Youth (12-17 Years Old): Findings from the Population Assessment of Tobacco and Health (PATH) Study

Earlier exposure to binge drinking and tobacco use is associated with higher odds of substance use disorders. Using national youth data from the PATH study, we prospectively estimate the age of initiating past 30-day use of (1) cigarettes, e-cigarettes, and binge drinking, and (2) cigarettes, cigarillos, and binge drinking. Cox proportional hazard models were used to estimate differences in the age of initiation by sex, race/ethnicity, and previous use of other tobacco products. By age 21, 4.4% (95% CI: 3.7-5.2) and 2.0% (95% CI: 1.2-2.8) of youth reported initiation of past 30-day use outcomes (1) and (2), respectively. After controlling for sex and previous use of other tobacco products, statistically significant differences in the age of initiation by race/ethnicity were found for each outcome: Hispanic and non-Hispanic Black youth were less likely than non-Hispanic White youth to initiate past 30-day use of both outcomes (1) and (2) at earlier ages. Although the initiation of both outcomes remained relatively low by age 21, these incidences represent 1.56 million and 700,000 youth, respectively. This study provides the public with evidence to identify the particular ages at which education campaigns may be most effective to prevent youth from initiating these three substances. Further research is needed to estimate the age of initiation of other dual tobacco use patterns with binge drinking.

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.

Gender Differences in Prevalence and Risk Factors Associated With Substance Use in 50- to 65-Year-Old Jamaicans

ABSTRACT

The purpose of this study was to evaluate gender-specific differences in prevalence and risk factors for alcohol, tobacco, and marijuana use among 50- to 65-year-old Jamaicans. We performed secondary analysis of the 2016 Jamaica National Drug Use Prevalence Survey. The dependent variables were self-reported use of tobacco, alcohol, and marijuana in the 30 days before the survey. The independent variables included general, socioeconomic, and community characteristics and concomitant substance use. Gender-stratified multiple Poisson regressions were conducted. The survey included 1,099 individuals aged 50-65 years; 50.3% were men. Reported use was significantly higher in men than in women: alcohol (54.9% vs. 17.8%), marijuana (22.4% vs. 2.2%), and tobacco (19.2% vs. 3.9%). High income was associated with alcohol use in women, whereas low and middle incomes were associated with marijuana use among men. Being employed was associated with tobacco use among women and with alcohol use among men. Rural residence was associated with alcohol use in women and with marijuana use in men. High neighborhood disorder was associated with tobacco use in women and alcohol and marijuana use in men. Concomitant substance use increased the likelihood of alcohol, tobacco, and marijuana use in men and women. We conclude that gender-sensitive strategies to substance use prevention and treatment are needed in Jamaica.

Concurrent E-cigarette and marijuana use and health-risk behaviors among U.S. high school students

The use of electronic cigarettes (e-cigarettes) and marijuana remain prevalent problems among adolescents nationwide. We assessed current (past 30-day) exclusive e-cigarette use, exclusive marijuana use, and concurrent use with unintentional injury and violent behaviors, alcohol and other drug use behaviors, and sexual behaviors among U.S. high school students. We analyzed 2017 Youth Risk Behavior Survey data including 12,578 high school students nationwide. Multivariable logistic regression models were performed to compare these health-risk behaviors among exclusive e-cigarette users, exclusive marijuana users, and concurrent users with non-users among the overall sample, and then to compare exclusive e-cigarette users and exclusive marijuana users with concurrent users among current users only. All models adjusted for adolescent sex, grade, and race/ethnicity, and other tobacco product use. Approximately 77% of students were non-users, 5.2% were exclusive e-cigarette users, 9.9% were exclusive marijuana users, and 7.8% were concurrent users. Compared to non-users, exclusive e-cigarette users and exclusive marijuana users were more likely to engage in most negative health-risk behaviors associated with unintentional injuries and violence, alcohol and other drug use, and sexual behaviors. Among current users only, exclusive e-cigarette users and exclusive marijuana users were at reduced odds of engaging in most of these health-risk behaviors when compared to concurrent users of both substances. The relationship between exclusive and concurrent e-cigarette and marijuana use and health-risk behaviors highlights the importance of comprehensive educational efforts during high school. Findings suggest need for more studies on influence of e-cigarette and marijuana use on injury and violence risk among youth.

Same-day use of cigarettes, alcohol, and cannabis among sexual minority and heterosexual young adult smokers

OBJECTIVE

Sexual minority (SM) young adults have higher rates of substance use than heterosexuals, but little is known about daily use of multiple substances, which confer numerous health risks for this population. Using daily diary data from a smartphone-based study, we examined the associations between sexual identity (i.e., SM vs. heterosexual) and patterns of same-day multiple substance use (i.e., cigarettes and alcohol, cigarettes and cannabis, alcohol and cannabis, and all 3 substances).

METHOD

Young adult smokers (N = 147, aged 18-26, 51.7% female, 41.5% SM, 40.8% White) reported consecutive daily assessments on substance use over 30 days. We used generalized estimating equations to examine associations between sexual identity and patterns of same-day multiple substance use, controlling for demographic factors and psychological distress.

RESULTS

Of 2,891 daily assessments, 16.7% reported same-day use of cigarettes and alcohol, 18.1% cigarettes and cannabis, 1.5% alcohol and cannabis, and 15.0% use of all 3 substances. SM participants (vs. heterosexuals) had significantly greater odds of reporting days with use of cigarettes and cannabis [Adjusted Odds Ratio (AOR) = 2.05, 95% Confidence Interval (CI) [1.04, 4.01]] and use of all three substances (AOR = 2.79, 95% CI [1.51, 5.14]) than days with single substance use or no use.

CONCLUSIONS

These findings warrant tailored interventions addressing multiple substance use among SM young adults and temporally accurate measures of multiple substance use patterns. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Drug addiction co-morbidity with alcohol: Neurobiological insights

Addiction is a chronic disorder that consists of a three-stage cycle of binge/intoxication, withdrawal/negative affect, and preoccupation/anticipation. These stages involve, respectively, neuroadaptations in brain circuits involved in incentive salience and habit formation, stress surfeit and reward deficit, and executive function. Much research on addiction focuses on the neurobiology underlying single drug use. However, alcohol use disorder (AUD) can be co-morbid with substance use disorder (SUD), called dual dependence. The limited epidemiological data on dual dependence indicates that there is a large population of individuals suffering from addiction who are dependent on more than one drug and/or alcohol, yet dual dependence remains understudied in addiction research. Here, we review neurobiological data on neurotransmitter and neuropeptide systems that are known to contribute to addiction pathology and how the involvement of these systems is consistent or divergent across drug classes. In particular, we highlight the dopamine, opioid, corticotropin-releasing factor, norepinephrine, hypocretin/orexin, glucocorticoid, neuroimmune signaling, endocannabinoid, glutamate, and GABA systems. We also discuss the limited research on these systems in dual dependence. Collectively, these studies demonstrate that the use of multiple drugs can produce neuroadaptations that are distinct from single drug use. Further investigation into the neurobiology of dual dependence is necessary to develop effective treatments for addiction to multiple drugs.

Relationship between Comorbid Drug Use Disorders, Affective Disorders, and Current Smoking

This study aimed to identify subgroups of adults based on comorbid psychiatric disorders and to examine the relationship with current smoking. Method: The National Epidemiologic Survey on Alcohol and Related Conditions-III, 2012-2013, sampled, recruited, and assessed 36,309 adults, with interviews on drug use and other characteristics. The Alcohol Use Disorder and Associated Disabilities Interview Schedule DSM-5 Version (AUDADIS-5) was used to identify psychiatric conditions. Latent class models were developed based on various psychiatric diagnoses. Multinomial logistic regression estimated the significance of covariates in predicting class membership. Results: Four latent classes optimally distinguished the population: no comorbid conditions (63%), comorbid affective disorders (16%), those with alcohol use disorder (AUD; 17%), and a highly comorbid subgroup (i.e., co-occurring affective and drug use disorders; 4%). Current smoking was about twice as prevalent in the classes defined by psychiatric conditions compared to the group with no comorbid conditions. The highly comorbid class was more likely to be current smokers than the comorbid affective disorders class and the AUD class. Furthermore, the highly comorbid class was younger and had lower income, and the AUD class had a higher proportion of males than the other classes. Conclusions: Cigarette smoking was higher in the nearly 40% of respondents characterized by psychiatric disorders, particularly those with drug use disorders. Correlates of membership in these classes were consistent with known vulnerabilities for smoking, highlighting the need for mental health interventions and future research to explicitly address tobacco cessation in clinical settings based on psychiatric diagnoses.

An analysis of within-subject and population level risk related to substance use and mental health outcomes among adolescents in the PATH study

INTRODUCTION

The objective of this study was to understand how adolescent substance use patterns may lead to negative mental health outcomes.

METHODS

Data from adolescents (12-17 years old at baseline, Wave 1) who participated in the first 3 waves of the Population Assessment of Health and Tobacco (PATH) study were used. Self-reported data on past 30-day substance use and internalizing/externalizing problems were used to conduct within-subject (fixed-effects model) and population-averaged (GEE model) analyses.

RESULTS

In both within-subject and between-subject analyses, the use of other illicit drugs (e.g., opioids, cocaine, prescription drugs for non-medical use) was positively associated with internalizing problems (within-subject estimate, AOR: 1.65, 95 % CI = 1.36-2.01; between-subject estimate, AOR: 1.53, 95 % CI = 1.32-1.78) and alcohol use was positively associated with externalizing problems (within-subject estimate, AOR: 1.66, 95 % CI = 1.43-1.93; between-subject estimate, AOR: 1.67, 95 % CI = 1.48-1.89). Additionally, within-subject analysis suggested that alcohol, marijuana, and other illicit drugs were associated with increased odds of comorbid internalizing and externalizing problems (ranging from marijuana, AOR: 1.18, - alcohol, AOR: 1.58).

DISCUSSION

Using within-subject and between-subject comparisons, this study demonstrated associations between adolescent substance use and internalizing and externalizing problems. Results suggest not only the need for individual level assessment and early intervention, but also the development and implementation of public health policy aimed at preventing or mitigating the negative effects of substance use in adolescence to promote improved mental health outcomes for this at-risk group.

A Cross-Sectional Analysis of Tobacco Use and Concurrent Alcohol and Substance Use Among Patients Living with HIV/HCV Co-infection: Findings from a Large Urban Tertiary Center

This study aimed to assess the prevalence of and factors associated with tobacco use among patients living with HIV/HCV co-infection. Patient reported outcomes (PROs) were analyzed of patients living with HIV/HCV co-infection (n = 313) who presented for clinical evaluation and treatment of HCV between 2013 and 2017 at a university-affiliated HIV/HCV Co-infection Clinic. The prevalence of tobacco use in patients living with HIV/HCV co-infection was 48%. Compared to non-smokers, a higher proportion of tobacco smokers had substance use disorders and concurrent alcohol and substance use. In the multivariate analysis, concurrent alcohol and substance use was positively associated with tobacco use. The findings suggest clinical interventions are urgently needed to reduce tobacco use among patients living with HIV/HCV co-infection—a doubly-vulnerable immunocompromised population. Otherwise, failed efforts to dedicate resources and targeted behavioral interventions for this respective population will inhibit survival—especially considering the recent and evolving COVID-19 pandemic.

Prevalence and correlates of youth poly-substance use in the COMPASS study

BACKGROUND AND AIMS

Youth poly-substance use, associated with long-term negative health and social outcomes, is of increasing concern following the rise of e-cigarette vaping and cannabis legalization in Canada. This work aimed to investigate current evidence on correlates of this behaviour to inform effective prevention and harm reduction programming.

DESIGN

Cross-sectional sample taking part in a cohort study.

SETTING

Canadian high schools (AB, BC, ON, QC) PARTICIPANTS: 74,501 Canadian high school students who completed the COMPASS student questionnaire in 2018/2019.

MEASUREMENTS

Self-report data on use of five substances (alcohol, cigarettes, e-cigarettes, cannabis, and opioids) alongside demographic factors, social and school support, and mental health-related measures.

RESULTS

Of the 39% of youth who reported current substance use, 53% reported using two or more. E-cigarette vaping was most prevalent (28%) and most often combined with other substances. Feeling supported by friends and having no problem with seeking help at school were associated with higher levels of poly-substance use. Family support, school connectedness, and school support to resist drugs decreased the risk of substance co-use.

CONCLUSIONS

The evidence presented here suggests that interventions for youth poly-substance use should rely on joint efforts between parents, schools, and communities to focus on structural factors rather than problematizing the individual.

Substance use behaviors in adolescent and young adult cancer patients: Associations with mental and physical health

OBJECTIVE

Cancer diagnosis in adolescents and young adults (AYAs) coincides with the developmental initiation of substance use and emergence of affective disturbance. We examined substance use behaviors and risk-stratified associations with mental and physical health, as well as objective indicators of tobacco and cannabis use and concordance with self-report and medical records.

METHODS

AYAs were 15 to 39 years at cancer diagnosis and ≥18 years and ≥6 months postdiagnosis at study enrollment. Risk-stratified groups included nonsmoker/nondrinker, nonsmoker/drinker, smoker/drinker. Assessments included demographics, past year tobacco, alcohol, and cannabis use, depression, anxiety, sleep, and physical activity. Urine analysis provided biochemical verification of tobacco and cannabis use.

RESULTS

Participants included 100 AYAs (60% male) with primarily hematological cancers (88%). Past year alcohol, tobacco, and cannabis use prevalence rates were 80%, 15%, and 33%, respectively. A minority (non-users) refrained from both alcohol and tobacco (20%), while most were exclusively alcohol users (65%) or alcohol and tobacco co-users (15%). Relative to other sub-groups, co-users reported more depressive and anxious symptoms, while non-users reported more physical activity. More frequent tobacco and cannabis use were associated with more depressive and anxious symptoms, while more frequent alcohol use was associated with lower physical activity. There were no group differences or associations with sleep quality. There was considerable discordance between tobacco use self-report, biochemical verification, and medical record documentation.

CONCLUSIONS

Substance use among AYAs is common and detrimental to mental and physical health, especially among more frequent users and co-users, highlighting the need for early assessment and intervention.

Intergenerational congruence in adolescent onset of alcohol, tobacco, and marijuana use

We examined alcohol, tobacco, and marijuana (ATM) use onset across early to late adolescence in a sample of fathers and their offspring. We tested a theory of developmental congruence in polysubstance use, or the extent to which fathers' ATM use onset in early adolescence increased risk for earlier ATM onset by their offspring. Average rates of adolescent ATM use onset were also compared across generations, which may reflect intergenerational discontinuity and secular trends. Children (n = 223, 44% boys) and their fathers (n = 113; originally recruited as boys at neighborhood risk for delinquency) contributed repeated prospective self-reports of their ATM use across adolescence (as late as age 18 years). Mothers' ATM use (retrospective) through age 18 years was available for 205 children. Data were analyzed using discrete-time survival mixture analysis. Compared with their fathers, boys and girls showed later onset for tobacco use, and girls showed later onset alcohol use. Developmental congruence was partially supported: Children showed earlier ATM use onset if their fathers were assigned to the early adolescent polysubstance use onset class, compared to the late-adolescent predominantly alcohol and tobacco onset class; mothers' ATM use in adolescence attenuated this effect. Consistent with national secular trends, rates of adolescent onset tobacco and alcohol use declined across generations, whereas marijuana use onset did not. However, there was intergenerational transmission of risk for early polysubstance use onset. Prevention that delays early substance use may have early life span effects as well as transgenerational implications. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Racial/Ethnic Variations in Clustered Risk Behaviors in the U.S

INTRODUCTION

Alcohol misuse, cigarette smoking, poor diet, and physical inactivity, known as the "big four" contributors to chronic conditions and mortality, typically co-occur or cluster together, with their synergistic effect more detrimental to health than their cumulative individual effects. Little research has been reported on race/ethnicity-specific analyses of the clustering of these behaviors in the U.S. This study identified clustered risk behaviors among whites, blacks, and Hispanics and examined whether unhealthy clusters were associated with lower SES (assessed by education level and family income) and poor health status.

METHODS

A nationally representative sample of U.S. adults aged 30-69 years (n=9,761) from the 2010 and 2015 National Alcohol Surveys was used to perform latent class analysis and multinomial and logistic regression modeling in 2018-2019. Obesity was used as a proxy for unhealthy diet.

RESULTS

Three lifestyle classes were identified in each group. The relatively healthy lifestyle class was identified among whites and Hispanics. The nonsmoking and low risky drinking class among blacks, though showing a healthier lifestyle than the other 2 classes, still had relatively high prevalence of inactivity and obesity. The inactive and obese class was found in all 3 groups. Also identified were the smoking and risky drinking class among whites; the smoking and inactive class among blacks; and the smoking, inactive, and risky drinking class among Hispanics. For all 3 groups, unhealthy lifestyle classes mostly were associated with lower SES. Unhealthy lifestyle classes were also associated with poorer health status.

CONCLUSIONS

Multi-behavior interventions are warranted to address inactivity and obesity in all 3 groups and unhealthy clusters involving smoking in each group.

Trends of poly-substance use among Canadian youth

INTRODUCTION

Poly-substance use, increasingly understood as a behaviour with uniquely adverse consequences, is on the rise among Canadian youth. High levels of e-cigarette vaping and the recent legalization of recreational cannabis use may result in an acceleration of this trend. The aim of this work was to characterise changes in youth poly-substance use over time, generate baseline data for future investigations, and highlight areas of interest for policy action.

METHODS

Descriptive statistics and regression models explored patterns and trends in concurrent use of multiple substances (alcohol, cigarettes, cannabis, and e-cigarettes) among Canadian high school students taking part in the COMPASS prospective cohort study during Y2 (2013/2014; n = 45,298), Y3 (2014/2015, n = 42,355), Y4 (2015/2016; n = 40,436), Y5 (2016/2017; n = 37,060), and Y6 (2017/2018; n = 34,879).

RESULTS

Poly-substance use increased significantly over time, with over 50% of students who used substance reporting past-year use of multiple substances by 2017/2018. Male and Indigenous students were significantly more likely to report poly-substance use than female and white students respectively. E-cigarette vaping doubled from Y5 to Y6 and was included in all increasingly prevalent substance use combinations.

CONCLUSIONS

Youth poly-substance use, rising since 2012/2013, saw a particularly steep increase after 2016/2017. Differential effects were observed for distinct demographic subpopulations, indicating tailored interventions may be required. E-cigarette vaping surged in parallel with the observed increase, suggesting a key role for this behaviour in shaping youth poly-substance use.

Marijuana use among young adult non-daily cigarette smokers over time

Recent data regarding growth in concurrent use of nicotine and marijuana have raised concern that reductions in legal restrictions on marijuana use may increase risk for tobacco-related harms. Previous studies have shown cross-sectional links between use of both substances, but less is known about associations over time. The goal of the present study was to test the hypothesis that there is a bidirectional relationship between use of marijuana and use of tobacco products over time, such that increasing use of either substance would predict increasing use of the other. Participants (n = 391, 52% male) were 18-24 year-old Californians who were non-daily cigarette smokers at enrollment and had never been daily smokers. They reported nicotine/tobacco and marijuana use quarterly over 2 years. Longitudinal negative binomial and logistic regression models indicated that each additional timepoint at which participants reported recent marijuana use predicted 9-11% increases in tobacco quantity and frequency. Additionally, each additional timepoint at which cigarette or tobacco use was reported predicted 19-22% greater marijuana frequency. Data suggest that young adults who use marijuana more frequently are likely at risk for greater tobacco exposure, and vice versa. These findings suggest a need for preventive measures that focus on concurrent use of both substances rather than either individually.