Psychiatric, psychosocial, and physical health correlates of co-occurring cannabis use disorders and nicotine dependence

Reasons for multiple tobacco product and cannabis co-use among Texas young adults

OBJECTIVE

This study examines differences in reasons for e-cigarette, cigarette, and cannabis use across exclusive, dual, co-, and poly co-users.

METHODS

Participants were 645 young adults who reported past 30-day (P30D) use of e-cigarettes, cigarettes, or cannabis at wave 14 (Fall, 2021) of the Texas Adolescent Tobacco Marketing and Surveillance System (TATAMS). Exclusive users reported P30D use of one product, dual users reported P30D use of e-cigarettes and cigarettes, co-users reported use of cannabis and one tobacco product, and poly co-users reported P30D use of all three products. Participants were asked if they agreed with a series of reasons for using their respective products. Multinomial logistic regression analyses were conducted to examine associations between reasons for use and pattern of use, controlling for sex, race/ethnicity, and lifetime product use.

RESULTS

26.36 % of P30D users reported cannabis and tobacco use. Poly co-users were more likely to report using e-cigarettes because their friends do than e-cigarette co-users (aRRR = 2.64; 95 %CI = 1.19-5.83) and dual tobacco users (aRRR = 5.11; 95 %CI = 1.73-15.12). Poly co-users were more likely to smoke cigarettes while drinking alcohol (aRRR = 4.68; 95 %CI = 1.06-20.72) or to experience a pleasurable buzz (aRRR = 5.48; 95 %CI = 1.62-18.57) than exclusive cigarette users. Poly co-users more often reported using cannabis for taste (aRRR = 3.13; 95 %CI = 1.51-6.51), because their friends use it (aRRR = 2.19; 95 %CI = 1.08-4.42), and while drinking alcohol (aRRR = 2.13; 95 %CI = 1.03-4.41) than exclusive cannabis users.

CONCLUSIONS

Given that reasons for use differ significantly among types of multiple product users and exclusive users, interventions should be tailored to address the specific tobacco and cannabis use practices of young adults.

Depression screening outcomes among adolescents, young adults, and adults reporting past 30-day tobacco and cannabis use

BACKGROUND

Few studies examine the relationship between depression and use of specific tobacco and/or cannabis products among adolescents, young adults, and adults. We determined whether the odds of depression are greater among those who used specific tobacco and/or cannabis products and among co-users of tobacco and cannabis.

METHOD

Cross-sectional online survey of a national convenience sample of 13-40-year-olds (N = 6,038). The survey included depression screening and past 30-day use of specific tobacco and cannabis products (cigarettes; e-cigarettes, vaped cannabis, little cigars, cigarillos, cigars, hookah, chewing tobacco, smoked cannabis, edible cannabis, blunts). Analyses correspond to the total sample, and 13-17-, 18-24-, and 25-40-year-olds.

RESULTS

Among 5,281 individuals who responded to the depression screener and nine product use questions, 1,803 (34.1 %) reported co-use of at least one tobacco product and one cannabis product in the past 30 days. Past 30-day co-use was associated with higher likelihood of screening positive for depression compared to past 30-day use of tobacco-only (aOR = 1.32, 1.06-1.65; 0.006) or cannabis-only (aOR = 1.94, 1.28-2.94; <0.001). Screening positive for depression was more likely among those who reported past 30-day use of e-cigarettes (aOR = 1.56; 1.35-1.80; <0.001), cigarettes (aOR = 1.24, 1.04-1.48; 0.016), chewed tobacco (aOR = 1.91, 1.51-2.42; <0.001), and blunts (aOR = 1.22, 1.00-1.48; 0.053) compared to those who did not report past 30-day use of these products. Among the 2,223 individuals who screened positive for depression, the most used two-product combination was nicotine e-cigarettes and smoked cannabis (614 individuals, 27.6 %).

CONCLUSIONS

Screening positive for depression was more likely among past 30-day co-users versus past 30-day users of tobacco-only or cannabis-only. Findings suggest that prevention programs for depression and substance use address tobacco and cannabis co-use.

Concurrent Use of Tobacco and Cannabis and Internalizing and Externalizing Problems in US Youths

Importance

Little is known about whether concurrent use of tobacco and cannabis is associated with higher or lower levels of mental health problems than use of either substance alone among youths.

Objective

To examine the association between concurrent use of tobacco and cannabis and mental health problems in a national sample of US youths.

Design, Setting, and Participants

This cross-sectional study analyzed publicly available wave 6 data within the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative cohort study of US youths aged 14 to 17 years, collected from March to November 2021. This analysis used wave 6 single-wave weights to obtain statistically valid estimates for cross-sectional analyses generalizable to the wave 4 cohort sample. Data were analyzed from November 15, 2023, to April 20, 2024.

Exposure

Past 30-day use of any tobacco and cannabis products was self-reported and categorized into 4 exclusive patterns: concurrent, tobacco only, cannabis only, and nonuse.

Main Outcomes and Measures

Self-reported past-year internalizing and externalizing mental health problems were measured using the modified version of the Global Appraisal of Individual Needs-Short Screener and separately categorized into 3 levels: low (0-1 symptoms), moderate (2-3 symptoms), and high (≥4 symptoms).

Results

A total of 5585 youths were included in the study, with a weighted proportion of 51.3% being male and 72.5% aged 15 to 17 years. In terms of race and ethnicity, 1606 youths (25.7%) were Hispanic, 626 (12.7%) were non-Hispanic Black, 2481 (50.5%) were non-Hispanic White, and 555 (11.0%) were non-Hispanic other. The prevalence of concurrent use (3.4% [95% CI, 2.9%-4.0%]) was comparable to tobacco-only use (3.9% [95% CI, 3.2%-4.6%]), but greater than cannabis-only use (2.5% [95% CI, 2.1%-2.9%]). High levels of internalizing and externalizing problems were most common for the concurrent use group (internalizing: 47.4% [95% CI, 39.2%-55.9%]; externalizing: 61.6% [95% CI, 54.1%-68.7%]), followed by the cannabis-only use group (internalizing: 44.8% [95% CI, 35.7%-54.1%]; externalizing: 48.5% [95% CI, 39.1%-57.9%]), the tobacco-only use group (internalizing: 41.4% [95% CI, 33.7%-49.5%]; externalizing: 46.3% [95% CI, 38.3%-54.5%]), and the nonuse group (internalizing: 22.4% [95% CI, 21.1%-23.8%]; externalizing: 30.4% [95% CI, 28.9%-31.9%]). After controlling for covariates in ordinal logistic regression models, concurrent use of tobacco and cannabis was associated with greater odds of reporting higher levels of externalizing problems compared with tobacco-only use (adjusted odds ratio [AOR], 1.83 [95% CI, 1.15-2.91]) and cannabis-only use (AOR, 1.85 [95% CI, 1.11-3.06]). However, there were no statistically significant differences in the odds of internalizing problems between concurrent use and use of tobacco or cannabis alone.

Conclusions and Relevance

In this cross-sectional study of the PATH Study wave 6 youth data, concurrent use of tobacco and cannabis was linked to higher levels of externalizing mental health problems than use of single substances, indicating a potential need to combine mental health support with tobacco and cannabis cessation interventions for youths.

Cannabis Use Disorder Symptoms in Weekly Cannabis Users: A Network Comparison Between Daily Cigarette Users and Nondaily Cigarette Users

Background: Concurrent use (co-use) of cannabis and tobacco is common and associated with worse clinical outcomes compared with cannabis use only. The mechanisms and interactions of cannabis use disorder (CUD) symptoms underlying co-use remain poorly understood. Methods: We examined differences in the symptom presence and symptom network configurations between weekly cannabis users who use tobacco daily (co-users, n=789) or non- or nondaily (nondaily co-users, n=428). Results: First, we identified a range of symptoms (craving, failed reduce or quit attempts, neglected responsibilities, and negative social effects) that are most central to the highly interconnected CUD symptom network. Risky cannabis use was mostly associated with negative social and health effects, and independent of other CUD symptoms. Craving symptoms act as a bridge between different CUD and withdrawal symptoms. Among co-users, (1) craving is more strongly associated with negative psychosocial effects, (2) feelings of depression and negative health effects are more central to the network, and (3) the negative health effects are more strongly associated with failed attempts to reduce or quit attempts compared with nondaily co-users. Discussion: Our results go beyond existing findings focused on the mere increase in CUD symptom presence, and speak to the potential synergistic effects of co-use on dependence and withdrawal symptoms. We outline clinical implications with respect to targeting specific CUD symptoms in co-users, and point to future research to disentangle tobacco and cannabis craving symptoms.

Classification of patterns of tobacco and cannabis co-use based on temporal proximity: A qualitative study among young adults

PURPOSE

Co-use of tobacco and cannabis is a common and complex behavior. The lack of harmonized measures of co-use yields confusion and inconsistencies in synthesizing evidence about the health effects of co-use. We aimed to classify co-use patterns based on temporal proximity and describe preferred products and motives for each pattern in order to improve co-use surveillance.

METHODS

We conducted semi-structured interviews in a sample of 34 young adults (Mage = 22.8 years, 32.4 % female) during 2017-2019 in California, USA. We employed a qualitative thematic analysis to identify timing, reasons, and contexts for tobacco and cannabis co-use and classify co-use patterns.

RESULTS

Four emergent patterns of co-use with increasing temporal proximity between tobacco use and cannabis use were: Same-month different-day co-use (Pattern 1); Same-day different-occasion co-use (Pattern 2); Same-occasion sequential co-use (Pattern 3); and Same-occasion simultaneous co-use (Pattern 4). Participants used various product combinations within each pattern. Similar motives for all patterns were socialization, product availability, and coping with stress/anxiety. Unique motive for temporally distant patterns (Patterns 1 and 2) was seeking substance-specific effects (e.g., stimulant effect from nicotine, relaxation effects from cannabis), while unique motives for temporally close patterns (Patterns 3 and 4) were seeking combined effects from both substances (e.g., more intense psychoactive effects, mitigating cannabis adverse effects) and behavioral trigger (e.g., cannabis use triggers tobacco use).

CONCLUSIONS

Our classification of co-use patterns can facilitate consistency for measuring co-use and assessing its health impacts. Future research should also measure product types and motives for different patterns to inform intervention efforts.

Impulsivity mediates the association between narcissism and substance-related problems beyond the degree of substance use: a longitudinal observational study

BACKGROUND

Narcissism has been implied as a putative risk factor for substance use disorders (SUDs). However, previous research did not disentangle the degree of substance use from substance-related problems, the symptoms of SUDs. This preregistered study addressed the open question whether grandiose and vulnerable narcissism and their constituent traits convey specific SUD risk, that is, explain substance-related problems beyond the degree of use. Furthermore, we tested whether impulsivity or substance use motives linked to narcissistic self-regulation mediate this association.

METHODS

Narcissism, impulsivity, substance use motives, past-year substance use, and substance-related problems were assessed in 139 (poly-)substance users, 121 of whom completed a one-year follow-up. For significant longitudinal associations between narcissism factors and substance-related problems controlled for the degree of use, we tested impulsivity and substance use motives as mediators.

RESULTS

Grandiose narcissism (r =.24, p =.007) and its constituent factors antagonistic (r =.27, p =.003) and agentic narcissism (r =.18, p =.050), but not vulnerable narcissism, prospectively predicted substance-related problems beyond the degree of substance use. Associations of grandiose narcissism and antagonistic narcissism with substance-related problems were fully mediated by impulsivity, but not substance use motives. Impulsivity explained roughly one third of the association of both grandiose (P̂M = 0.30) and antagonistic narcissism (P̂M = 0.26) with substance-related problems.

DISCUSSION

We demonstrate that grandiose narcissism- particularly antagonistic but also agentic narcissism- is specifically linked to substance-related problems beyond the degree of substance use. The mediating effect of impulsivity but not substance use motives suggests that impulsivity may be a more important mechanism than narcissistic self-regulation in promoting SUD in narcissism. However, future studies may use more targeted measures than substance use motives to further probe the role of self-regulation. Similar result patterns for alcohol compared to all substances together indicate that mechanisms may be alike across substances. In conclusion, narcissistic individuals may not use substances more but have a higher SUD risk, informing prevention and treatment.

Enhanced cannabis timeline followback (EC-TLFB): Comprehensive assessment of cannabis use including standard THC units and validation through biological measures

AIMS

The aims of this study were to present an enhanced cannabis timeline followback (EC-TLFB) enabling comprehensive assessment of cannabis use measures, including standard tetrahydrocannabinol (THC) units, and to validate these against objectively indexed urinary 11-nor-9-carboxy-tetrahydrocannabinol (THC-COOH) concentrations.

DESIGN

We used cross-sectional baseline data from the 'CannTeen' observational longitudinal study.

SETTING

The study was conducted in London, UK.

PARTICIPANTS

A total of 147 participants who used cannabis regularly took part in the study (n = 71 female, n = 76 male; mean age = 21.90, standard deviation = 5.32).

MEASUREMENTS

The EC-TLFB was used to calculate frequency of cannabis use, method of administration, including co-administration with tobacco, amount of cannabis used (measured with unaided self-report and also using pictorial aided self-report) and type of cannabis product (flower, hash) which was used to estimate THC concentration (both from published data on THC concentration of products and analysis of cannabis samples donated by participants in this study). We calculated total weekly standard THC units (i.e. 5 mg THC for all cannabis products and methods of administration) using the EC-TLFB. The outcome variable for validation of past week EC-TLFB assessments was creatinine-normalized carboxy-tetrahydrocannabinol (THC-COOH) in urine.

FINDINGS

All measures of cannabis exposure included in this analysis were positively correlated with levels of THC-COOH in urine (r = 0.41-0.52). Standard THC units, calculated with average concentrations of THC in cannabis in the UK and unaided self-report measures of amount of cannabis used in grams showed the strongest correlation with THC-COOH in urine (r = 0.52, 95% bias-corrected and accelerated = 0.26-0.70).

CONCLUSIONS

The enhanced cannabis timeline followback (EC-TLFB) can provide a valid assessment of a comprehensive set of cannabis use measures including standard tetrahydrocannabinol units as well as and traditional TLFB assessments (e.g. frequency of use and grams of cannabis use).

The relationship between substance use and self-reported aspects of social functioning in patients with a psychotic disorder

BACKGROUND

In patients with a psychotic disorder, rates of substance use (tobacco, cannabis, and alcohol) are higher compared to the general population. However, little is known about associations between substance use and self-reported aspects of social functioning in patients with a psychotic disorder.

METHODS

In this cross-sectional study of 281 community-dwelling patients with a psychotic disorder, linear regression models were used to assess associations between substance use (tobacco, cannabis, or alcohol) and self-reported aspects of social functioning (perceived social support, stigmatization, social participation, or loneliness) adjusting for confounders (age, gender, and severity of psychopathology).

RESULTS

Compared to nonsmokers, both intermediate and heavy smokers reported lower scores on loneliness (E = -0.580, SE = 0.258, p = 0.025 and E = -0.547, SE = 0,272, p = 0.046, respectively). Daily cannabis users reported less social participation deficits than non-cannabis users (E = -0.348, SE = 0.145, p = 0.017). Problematic alcohol use was associated with more perceived social support compared to non-alcohol use (E = 3.152, SE = 1.102, p = 0.005). Polysubstance users reported less loneliness compared to no users (E = -0.569, SE = 0.287, p = 0.049).

CONCLUSIONS

Substance use in patients with psychosis is associated with more favorable scores on various self-reported aspects of social functioning.

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.

Pain is associated with exclusive use and co-use of tobacco and cannabis: Findings from Wave 5 (2018-2019) of the Population Assessment of Tobacco and Health Study

INTRODUCTION

Rates of tobacco and cannabis use are disproportionately high among individuals with pain, and evidence suggests that pain may engender greater likelihood of substance co-use, yielding additive risk. This study examined national associations of pain with past-month tobacco use, cannabis use, and co-use of tobacco and cannabis.

METHODS

Data came from a nationally representative US sample of adults in Wave 5 (2018-2019) of the Population Assessment of Tobacco and Health study (N = 32,014). The sample included civilian, non-institutionalized people who use tobacco and people who do not use tobacco. Past-week pain intensity (0-10) was dichotomized (0-4 no/low pain; 5-10 moderate/severe pain). Multinomial models adjusted for demographics examined substance use category membership (no tobacco or cannabis use, exclusive cannabis use, exclusive tobacco use, co-use) as a function of pain status.

RESULTS

Moderate/severe pain was associated with increased relative risk of exclusive tobacco use (RRR [CI] 2.26 [2.05, 2.49], p <.001), exclusive cannabis use (1.49 [1.22, 1.82], p <.001), and co-use of tobacco and cannabis (2.79 [2.51, 3.10], p <.001), in comparison to no tobacco or cannabis use. Additionally, moderate/severe pain was associated with increased risk of co-use compared to exclusive tobacco use (1.23 [1.11, 1.37], p <.001) and exclusive cannabis use (1.88 [1.54, 2.29], p <.001).

DISCUSSION

Findings suggest that not only is pain independently associated with greater risk of exclusively using tobacco or cannabis, but pain is also associated with heightened risk of co-using both products. Future work should examine the dynamic and potentially bidirectional relationships between pain and use of cannabis and tobacco.

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.

Associations between tobacco and cannabis use and anxiety and depression among adults in the United States: Findings from the COVID-19 citizen science study

BACKGROUND

Little is known about whether people who use both tobacco and cannabis (co-use) are more or less likely to have mental health disorders than single substance users or non-users. We aimed to examine associations between use of tobacco and/or cannabis with anxiety and depression.

METHODS

We analyzed data from the COVID-19 Citizen Science Study, a digital cohort study, collected via online surveys during 2020-2022 from a convenience sample of 53,843 US adults (≥ 18 years old) nationwide. Past 30-day use of tobacco and cannabis was self-reported at baseline and categorized into four exclusive patterns: tobacco-only use, cannabis-only use, co-use of both substances, and non-use. Anxiety and depression were repeatedly measured in monthly surveys. To account for multiple assessments of mental health outcomes within a participant, we used Generalized Estimating Equations to examine associations between the patterns of tobacco and cannabis use with each outcome.

RESULTS

In the total sample (mean age 51.0 years old, 67.9% female), 4.9% reported tobacco-only use, 6.9% cannabis-only use, 1.6% co-use, and 86.6% non-use. Proportions of reporting anxiety and depression were highest for the co-use group (26.5% and 28.3%, respectively) and lowest for the non-use group (10.6% and 11.2%, respectively). Compared to non-use, the adjusted odds of mental health disorders were highest for co-use (Anxiety: OR = 1.89, 95%CI = 1.64-2.18; Depression: OR = 1.77, 95%CI = 1.46-2.16), followed by cannabis-only use, and tobacco-only use. Compared to tobacco-only use, co-use (OR = 1.35, 95%CI = 1.08-1.69) and cannabis-only use (OR = 1.17, 95%CI = 1.00-1.37) were associated with higher adjusted odds for anxiety, but not for depression. Daily use (vs. non-daily use) of cigarettes, e-cigarettes, and cannabis were associated with higher adjusted odds for anxiety and depression.

CONCLUSIONS

Use of tobacco and/or cannabis, particularly co-use of both substances, were associated with poor mental health. Integrating mental health support with tobacco and cannabis cessation may address this co-morbidity.

Associations of polygenic risk scores for smoking heaviness and lifetime cannabis use with tobacco and cannabis co-use trajectories among African Americans

BACKGROUND

We aimed to identify distinct trajectories of tobacco, cannabis, and their co-use among African Americans, and to investigate whether these patterns were associated with polygenic risk scores (PRS) for tobacco and cannabis use.

METHOD

Participants (N=428 participants; 50.9% male) were initially recruited for an elementary school-based prevention in a Mid-Atlantic city when they were in first grade. From ages 14-26, participants reported on their frequency of tobacco and cannabis use in the past year during annual assessments. DNA was collected from participants at age 21. PRS for smoking heaviness (i.e., cigarettes per day) and lifetime cannabis use were created based on genome-wide association study results derived from Liu et al. (2019) and Pasman et al. (2018), respectively.

RESULTS

We identified five distinct trajectories of tobacco and cannabis co-use, including (1) Low Tobacco and Cannabis Use, (2) Adolescent Limited Tobacco and Cannabis Use, (3) Experimental Cannabis, Young Adult Increasing Tobacco, (4) Experimental Tobacco, Young Adult Increasing Cannabis, and (5) High, Chronic Tobacco and Cannabis Use. Compared to the Low Tobacco and Cannabis Use subgroup, individuals in the High, Chronic Tobacco and Cannabis Use subgroup had greater PRS for smoking heaviness, and individuals in the Experimental Cannabis, Young Adult Increasing Tobacco subgroup had higher PRS for lifetime cannabis use.

CONCLUSIONS

Polygenic risk for lifetime cannabis use and smoking heaviness is associated with the developmental progression of tobacco and cannabis co-use among African Americans, furthering knowledge on the etiology of co-use in this population.

A Prospective Comparison of Bipolar I and II Subjects with and without Comorbid Cannabis Use Disorders from the COGA Dataset

OBJECTIVE

The comorbidity of alcohol and substance use disorders among persons with bipolar disorder is elevated, as indicated by epidemiological and clinical studies. Following alcohol use, cannabis is the most frequently used and abused illicit substance among bipolar individuals, and such use may lead to comorbid cannabis use disorders (CUD). Previous research indicated that CUDs were related to a more severe course of bipolar disorder and higher rates of other comorbid alcohol and substance use disorders. Few studies, however, have conducted longitudinal research on this comorbidity. The aim of this study is to investigate the influence of CUD on the course of bipolar I and II individuals during a 5-year follow-up.

METHODS

The characteristics of bipolar disorder, cannabis use disorders, and other alcohol and substance use disorders, as well as comorbid mental disorders, were assessed using a standardized semi-structured interview (SSAGA) at both baseline and the 5-year follow-up. N = 180 bipolar I and II patients were subdivided into groups of with and without comorbid cannabis use disorders (CUD).

RESULTS

Of the 77 bipolar I and 103 bipolar II patients, n = 65 (36.1%) had a comorbid diagnosis of any CUD (DSM-IV cannabis abuse or dependence). Comorbid bipolar patients with CUD had higher rates of other substance use disorders and posttraumatic stress disorders, more affective symptoms, and less psychosocial functioning at baseline and at 5-year follow-up. In contrast to previously reported findings, higher rates of anxiety disorders and bipolar disorder complications (e.g., mixed episodes, rapid cycling, and manic or hypomanic episodes) were not found. The effect of CUD on other substance use disorders was confirmed using moderation analyses.

CONCLUSIONS

A 5-year prospective evaluation of bipolar patients with and without CUD confirmed previous investigations, suggesting that the risk of other substance use disorders is significantly increased in comorbid individuals. CUD has a moderation effect, while no effect was found for other mental disorders. Findings from this study and previous research may be due to the examination of different phenotypes (Cannabis use vs. CUD) and sample variation (family study vs. clinical and epidemiological populations).

Prevalence of depressive symptoms and cannabis use among adult cigarette smokers in Canada: cross-sectional findings from the 2020 International Tobacco Control Policy Evaluation Project Canada Smoking and Vaping Survey

BACKGROUND

Tobacco smoking and cannabis use are independently associated with depression, and evidence suggests that people who use both tobacco and cannabis (co-consumers) are more likely to report mental health problems, greater nicotine dependence and alcohol misuse than those who use either product exclusively. We examined prevalence of cannabis use and depressive symptoms among Canadian adults who smoke cigarettes and tested whether co-consumers of cannabis and tobacco were more likely to report depressive symptoms than cigarette-only smokers; we also tested whether cigarette-only smokers and co-consumers differed on cigarette dependence measures, motivation to quit smoking and risky alcohol use by the presence or absence of depressive symptoms.

METHODS

We analyzed cross-sectional data from adult (age ≥ 18 yr) current (≥ monthly) cigarette smokers from the Canadian arm of the 2020 International Tobacco Control Policy Evaluation Project Four Country Smoking and Vaping Survey. Canadian respondents were recruited from Leger's online probability panel across all 10 provinces. We estimated weighted percentages for depressive symptoms and cannabis use among all respondents and tested whether co-consumers (≥ monthly use of cannabis and cigarettes) were more likely to report depressive symptoms than cigarette-only smokers. Weighted multivariable regression models were used to identify differences between co-consumers and cigarette-only smokers with and without depressive symptoms.

RESULTS

A total of 2843 current smokers were included in the study. The prevalence of past-year, past-30-day and daily cannabis use was 44.0%, 33.2% and 16.1%, respectively (30.4% reported using cannabis at least monthly). Among all respondents, 30.0% screened positive for depressive symptoms, with co-consumers being more likely to report depressive symptoms (36.5%) than those who did not report current cannabis use (27.4%, p < 0.001). Depressive symptoms were associated with planning to quit smoking (p = 0.01), having made multiple attempts to quit smoking (p < 0.001), the perception of being very addicted to cigarettes (p < 0.001) and strong urges to smoke (p = 0.001), whereas cannabis use was not (all p ≥ 0.05). Cannabis use was associated with high-risk alcohol consumption (p < 0.001), whereas depressive symptoms were not (p = 0.1).

INTERPRETATION

Co-consumers were more likely to report depressive symptoms and high-risk alcohol consumption; however, only depression, and not cannabis use, was associated with greater motivation to quit smoking and greater perceived dependence on cigarettes. A deeper understanding of how cannabis, alcohol use and depression interact among people who smoke cigarettes is needed, as well as how these factors affect cessation activity over time.

Cannabis and nicotine co-use among primary care patients in a state with legal cannabis access

The aim of this exploratory analysis was to evaluate cannabis exposure, reasons for use and problematic cannabis use among adult primary care patients in Washington state (United States) who co-use cannabis and nicotine (tobacco cigarettes and/or nicotine vaping) compared to patients who endorse current cannabis use only. As part of a NIDA Clinical Trials Network (CTN) parent study, patients who completed a cannabis screen as part of routine primary care were randomly sampled (N = 5,000) to a receive a confidential cannabis survey. Patients were stratified and oversampled based on the frequency of past-year cannabis use and for Black, indigenous, or other persons of color. Patients who endorsed past 30-day cannabis use are included here (N = 1388). Outcomes included; prevalence of cannabis use, days of cannabis use per week and times used per day, methods of use, THC:CBD content, non-medical and/or medical use, health symptoms managed, and cannabis use disorder (CUD) symptom severity. We conducted unadjusted bivariate analyses comparing outcomes between patients with cannabis and current nicotine co-use to patients with cannabis-only use. Nicotine co-use (n = 352; 25.4 %) was associated with differences in method of cannabis use, THC:CBD content, days of use per week and times used per day, number of health symptoms managed, and CUD severity (all p < 0.001), compared to primary care patients with cannabis-only use (n = 1036). Interventions targeting cannabis and nicotine co-use in primary care are not well-established and further research is warranted given findings of more severe cannabis use patterns and the adverse health outcomes associated with co-use.

High potency cannabis use, mental health symptoms and cannabis dependence: Triangulating the evidence

BACKGROUND

Cannabis potency (concentration of Δ-9-Tetrahydrocannabinol) has been associated with risks of adverse mental health outcomes and addiction but no studies have triangulated evidence from self-report and objective measures of cannabis potency. We hypothesised that users of high potency cannabis would have higher levels of (a) anxiety, (b) depression and (c) psychosis-like symptoms (d) cannabis dependence than users of lower potency cannabis.

METHODS

A cross-sectional study of 410 participants donated a sample of cannabis for analysis of THC concentration and reported their cannabis potency preference. These two exposure measures were investigated for their association with cannabis dependence, depression, anxiety, and psychosis-like symptoms in separate linear/logistic regression models.

RESULTS

High potency cannabis preference was associated with a slight increased risk of cannabis dependence after adjusting for confounding, with the exception of cannabis use frequency (OR = 1.16, 95% CI 1.04-1.28). No association was found between THC concentration in cannabis and cannabis dependence. There was weak evidence of a small association between cannabis potency and depression and anxiety. There was no association between high potency cannabis preference or THC concentration in cannabis and psychosis-like symptoms.

CONCLUSIONS

Users of cannabis who preferred high potency types might be at increased risk of problematic cannabis use. This should be considered with caution as we were not able to triangulate these results with an objective measure of cannabis potency. More research is needed to understand the association between high potency cannabis use and depression and anxiety.

Co-Use, Simultaneous Use, and Mixing of Cannabis and Tobacco: A Cross-National Comparison of Canada and the US by Cannabis Administration Type

INTRODUCTION

Increasing cannabis legalization raises concerns that the use of tobacco, frequently used with cannabis, will also increase. This study investigated the association between the legal status of cannabis in places of residence and the prevalence of cannabis and tobacco co-use, simultaneous use, and mixing by comparing the prevalence among adults in Canada (prior to cannabis legalization) vs. adults in US states that had legalized recreational cannabis vs. US states that had not as of September 2018.

METHODS

Data were drawn from the 2018 International Cannabis Policy Study, conducted with respondents aged 16-65 in Canada and the US recruited from nonprobability consumer panels. Differences in the prevalence of co-use, simultaneous use, and mixing between tobacco and different cannabis products were examined using logistic regression models by legal status of place of residence among past-12-month cannabis consumers (N = 6744).

RESULTS

Co-use and simultaneous use in the past 12 months were most common among respondents in US legal states. Among cannabis consumers, co-use and simultaneous use were less common in US legal states, while mixing was less frequent in US states with both legal and illegal cannabis compared to Canada. Use of edibles was associated with lower odds of all three outcomes, while smoking dried herb or hash was associated with higher odds.

CONCLUSIONS

The proportion of cannabis consumers who used tobacco was lower in legal jurisdictions despite higher prevalence of cannabis use. Edible use was inversely associated with co-use, suggesting that edible use does not appear to be associated with increased tobacco use.

Risk of readmission among individuals with cannabis use disorder during a 15-year cohort study: the impact of socio-economic factors and psychiatric comorbidity

BACKGROUND AND AIM

Cannabis use disorder (CUD) is one of the main reasons for seeking substance treatment in the Nordic countries, but there are few studies on readmission to care. We aimed to characterize CUD readmission and estimate the magnitude of how socio-economic factors and psychiatric comorbidity influence the risk of CUD readmission.

DESIGN, SETTING AND PARTICIPANTS

This was a nation-wide cohort study carried out between 2001 and 2016 in Sweden. The participants were individuals with CUD, aged 17 years and above (n = 12 143).

MEASUREMENTS

Information on predictors was obtained from registers and included education, income and psychiatric comorbidity assessed by six disease groups. The outcome measure was readmission, defined as a CUD visit to health-care at least 6 months after initial CUD diagnosis. Hazard ratios (HR) were estimated using Cox survival analyses and flexible parametric survival analyses to assess risk of readmission and how the risk varied with age.

FINDINGS

The vast majority of CUD visits took place in outpatient care (~80%). Approximately 23% of the included individuals were readmitted to care during follow-up. The fully adjusted model showed an increased risk of readmission among those with schizophrenia and other psychotic disorders [HR = 1.54, 95% confidence interval (CI) = 1.29-1.84], low education (HR = 1.40, 95% CI = 1.24-1.57), personality disorders (HR = 1.27, 95% CI = 1.05-1.54) or mood disorders (HR = 1.27, 95% CI = 1.12-1.45). Flexible parametric modeling revealed increased risk of readmission mainly in individuals aged 18-35 years.

CONCLUSIONS

The risk of readmission was highest among those with low education, schizophrenia and other psychotic disorders, mood-related disorders or personality disorders. Individuals aged 18-35 years showed the highest risk of readmission. Our findings highlight individuals with complex health-care needs.

Anxiety sensitivity and cigarette use on cannabis use problems, perceived barriers for cannabis cessation, and self-efficacy for quitting among adults with cannabis use disorder

Many individuals diagnosed with cannabis use disorder (CUD) report a desire to quit using cannabis due to problems associated with use. Yet, successful abstinence is difficult for a large subset of this population. Thus, the present study sought to elucidate potential risk factors for cannabis use problems, perceived barriers for quitting, and diminished self-efficacy for remaining abstinent. Specifically, this investigation examined cigarette user status, anxiety sensitivity, and the interplay between these individual difference factors in terms of cannabis-related problems, perceived barriers for cannabis cessation, and self-efficacy for quitting cannabis use. The sample consisted of 132 adult cannabis users who met criteria for CUD and were interested in quitting (38 % female; 63.6 % Black; Mage = 37.22; SDage = 28.79; 54.6 % current tobacco users). Findings revealed a significant interaction, such that anxiety sensitivity was related to cannabis use problems and perceived barriers for cannabis cessation among current cigarette users, but not among cigarette non-users. There was no significant interaction for self-efficacy for remaining abstinent. The current findings suggest that cigarette users constitute a subgroup that may be especially vulnerable to the effects of anxiety sensitivity in terms of cannabis use problems and perceived barriers for quitting cannabis use.

Psychopathic Traits Are Associated with Lifetime History of Nicotine Dependence among Incarcerated Offenders

Background: Individuals scoring high on psychopathy engage in problematic patterns of alcohol and illicit substance use. However, our understanding regarding the association between psychopathy and nicotine use remains limited, which is surprising, given the detrimental consequences associated with such use. Previous studies have observed significant correlations between psychopathic traits (particularly Factor 2 scores assessing lifestyle/behavioral and antisocial traits from the Psychopathy Checklist - Revised [PCL-R]) and increased frequency of nicotine use. However, no study has investigated whether individuals scoring high on psychopathy are characterized by problematic patterns of nicotine use, including lifetime history of nicotine dependence.Objectives: The current study aimed to address this gap, specifically investigating whether PCL-R scores were associated with higher total scores from the Fagerström Test for Nicotine Dependence (FTND).Results: Across both incarcerated men and women, PCL-R total, Factor 2, and Facet 3 (measuring lifestyle/behavioral psychopathic traits) scores were positively correlated with FTND total scores. Additionally, across both samples, hierarchical linear regression analyses revealed these same psychopathy scores remained associated with higher FTND total scores when controlling for additional covariate measures (e.g., age, severity of alcohol and illicit substance use, race, ethnicity, and IQ).Conclusions/Importance: Though associated with small effect sizes, our results support the notion that lifestyle/behavioral psychopathic traits represent a general risk factor for engaging in risky behavior associated with deleterious health consequences, including nicotine use. Our results hold implications for the development of treatment approaches, designed to reduce problematic levels of substance use among individuals scoring high on psychopathy.

Differences between adults who smoke cigarettes daily and do and do not co-use cannabis: Findings from the 2020 ITC four country smoking and vaping survey

BACKGROUND

Little is known about population-level differences between adults who exclusively smoke cigarettes and those who smoke cigarettes and also use cannabis (co-consumers). Thus, this study describes differences on sociodemographic, cigarette-dependence, health and behavioral variables, and risk perceptions associated with smoking cannabis.

METHODS

This cross-sectional study included 6941 respondents from the 2020 ITC Four Country Smoking and Vaping Survey (US, Canada, Australia, England). Adult daily cigarette smokers were included and categorized as: cigarette-only smokers (never used cannabis/previously used cannabis, but not in the past 12 months, n = 4857); occasional co-consumers (cannabis use in the past 12 months, but < weekly use, n = 739); or regular co-consumers (use cannabis ≥ weekly, n = 1345). All outcomes were self-reported. Regression models were conducted on weighted data.

RESULTS

Overall, 19.9 % of respondents reported regular cannabis co-use and 10.1 % reported occasional co-use. Regular co-use was highest in Canada (27.2 %), followed by the US (24.4 %), England (12.7 %) and Australia (12.3 %). Compared to cigarette-only smokers, regular co-consumers were more likely to be male and report chest/breathing problems (p < 0.001). All co-consumers were more likely to be younger, have lower income, be experiencing financial stress, reside in Canada, have depressive symptoms, use alcohol more frequently and binge drink, use other tobacco/nicotine products, and perceive smoking cannabis as low health risk and less harmful than smoking cigarettes (all p < 0.001). Cigarette dependence measures were similar between co-consumers and cigarette-only smokers (all p ≥ 0.05).

CONCLUSIONS

Although there were no differences on cigarette dependence measures between daily cigarette smokers who do and do not use cannabis, there are several other risk factors that may affect tobacco use and abstinence among co-consumers (e.g., greater depression, high-risk alcohol consumption). Thus, tobacco cessation treatment may require multi-pronged strategies to address other health behaviors. Continued surveillance is needed to determine the nature and health implications of co-use considering changing policies, markets, and products.

Concentration of Cannabis and Tobacco Retailers in Los Angeles County, California: A Spatial Analysis of Potential Effects on Youth and Ethnic Minorities

OBJECTIVE

Cannabis and tobacco retailers are believed to cluster in areas with more racial/ethnic minorities, which could account for the disproportionate use of blunts in Black and Hispanic communities. The current study examined the spatial relationship between cannabis and licensed tobacco retailers in Los Angeles County, California, and assessed whether various neighborhood and business factors influenced the spatial patterning.

METHOD

Generalized additive models were used to test the association between the location of cannabis retailers (N = 429) and their accessibility potential (AP) to tobacco retailers (N = 8,033). The covariates included cannabis licensure status, median household income, population density, percentages of racial/ ethnic minorities and young adults (18-34), unemployment status, families living in poverty, minimum completion of high school/General Educational Development (GED) credential, and industrial businesses by census tract.

RESULTS

The location of cannabis retailers was significantly associated with AP in all adjusted models (p < .005). The percentage of racial/ethnic minorities, age (18-34 years), and nonlicensure of cannabis retailers, which were positively correlated with AP (p < .05), confounded the association between AP and cannabis retailer location.

CONCLUSIONS

The concentration of unlicensed cannabis retailers and tobacco retailers in young and racially/ethnically diverse neighborhoods may increase access to and use of cigarillos for blunt smoking. Jurisdictions within Los Angeles County should consider passing ordinances requiring minimum distances between cannabis and tobacco retailers.

Concentration of Cannabis and Tobacco Retailers in Los Angeles County, California: A Spatial Analysis of Potential Effects on Youth and Ethnic Minorities

OBJECTIVE

Cannabis and tobacco retailers are believed to cluster in areas with more racial/ethnic minorities, which could account for the disproportionate use of blunts in Black and Hispanic communities. The current study examined the spatial relationship between cannabis and licensed tobacco retailers in Los Angeles County, California, and assessed whether various neighborhood and business factors influenced the spatial patterning.

METHOD

Generalized additive models were used to test the association between the location of cannabis retailers (N = 429) and their accessibility potential (AP) to tobacco retailers (N = 8,033). The covariates included cannabis licensure status, median household income, population density, percentages of racial/ ethnic minorities and young adults (18-34), unemployment status, families living in poverty, minimum completion of high school/General Educational Development (GED) credential, and industrial businesses by census tract.

RESULTS

The location of cannabis retailers was significantly associated with AP in all adjusted models (p < .005). The percentage of racial/ethnic minorities, age (18-34 years), and nonlicensure of cannabis retailers, which were positively correlated with AP (p < .05), confounded the association between AP and cannabis retailer location.

CONCLUSIONS

The concentration of unlicensed cannabis retailers and tobacco retailers in young and racially/ethnically diverse neighborhoods may increase access to and use of cigarillos for blunt smoking. Jurisdictions within Los Angeles County should consider passing ordinances requiring minimum distances between cannabis and tobacco retailers.

A difference-in-difference approach to examining the impact of cannabis legalization on disparities in the use of cigarettes and cannabis in the United States, 2004-17

AIMS

To estimate the impact of recreational and medical cannabis laws (RCL, MCL) on the use of cannabis and cigarettes in the United States.

DESIGN

A difference-in-difference approach was applied to data from the 2004-17 National Survey on Drug Use and Health (NSDUH).

SETTING

United States.

PARTICIPANTS

Nationally representative cross-sectional survey of Americans aged 12 years and older (combined analytical sample for 2004-17, n = 783 663).

MEASUREMENTS

Data on past-month use of (1) cigarettes and (2) cannabis were used to classify respondents into four groups: cigarette and cannabis co-use, cigarette-only use, cannabis-only use or no cigarette or cannabis use. State of residence was measured by self-report. MCL/RCL status came from state government websites.

FINDINGS

Difference-in-difference analyses suggest that MCL was associated with an increase in cigarette-cannabis co-use overall [adjusted odds ratio (aOR) = 1.09; 95% confidence interval (CI) = 1.02-1.16], with the greatest increases among those aged 50 years and above (aOR = 1.60; CI = 1.39-1.84), married (aOR = 1.19; CI = 1.07-1.31), non-Hispanic (NH) black (aOR = 1.14; CI = 1.02-1.07) and with a college degree or above (aOR = 1.15; CI = 1.06-1.24). MCL was associated with increases in cigarette-only use among those aged 50 years and above (aOR = 1.07; CI = 1.01-1.14) and NH black (aOR = 1.16; CI = 1.06-1.27) and increases in cannabis-only use among those aged 50 years and above (aOR = 1.24; CI = 1.07-1.44) and widowed/divorced/separated (aOR = 1.18; CI = 1.01-1.37). RCL was associated with an increase in cannabis-only use overall (aOR = 1.21; 95% CI = 1.09-1.34), a decline in cigarette-only use overall (aOR = 0.89; 95% CI = 0.81-0.97) and increases in co-use among those who were married (aOR = 1.24; CI = 1.02-1.50) and aged 50 years and above (aOR = 1.37; CI = 1.03-1.84).

CONCLUSIONS

Recreational and medical cannabis legalization have had a varying impact on the use, and co-use, of cannabis and cigarettes in the United States.

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.

Use of Inhaled Nicotine and Cannabis Products among Adults Who Vape Both Substances

BACKGROUND

Co-occurring use (co-use) of nicotine and cannabis is common, and represents a broad range of use behaviors, including concurrent use, sequential use, and co-administration. Co-use has primarily been examined through the lens of smoked tobacco and cannabis. Little is known about those who co-use vaped nicotine and cannabis, and the degree to which specific co-use behaviors are associated, based on mode of use and/or substance.

METHODS

We conducted an online pilot survey on use behaviors related to inhaled modes of nicotine and cannabis. The survey was administered to 112 concurrent vapers of these substances. Descriptive analyses examined sample characteristics and co-administered vaping and smoking behaviors. Logistic regressions examined associations in use behaviors by mode and substance.

RESULTS

Participants who vaped nicotine and cannabis monthly also reported monthly smoking of cannabis (100%), and cigarettes (58%). Most exhibited moderate-to-high degrees of mental health and substance use problems requiring clinical intervention. Monthly concurrent use exhibited more differences by mode, and more similarities by substance. Specific sequential use practices showed mode-specific associations; with greater frequency of cigarette smoking and nicotine vaping. Co-administration was associated with more frequent tobacco and cannabis smoking.

CONCLUSIONS

Those who regularly vape nicotine and cannabis tend to engage in some form of smoking. Different subsets of nicotine and cannabis co-use behaviors showed different associations with patterns of use and modes of drug delivery. Findings underscore the diversity of nicotine and cannabis use behaviors among co-users, and the importance of considering associations by both substance and mode of use.

Cigarette dependence is more prevalent and increasing among US adolescents and adults who use cannabis, 2002-2019

SIGNIFICANCE

Cannabis use is increasing among cigarette smokers. If cannabis use is associated with cigarette dependence, a barrier to smoking cessation, this could have public health implications for tobacco control. The current study estimated the prevalence of cigarette dependence among US individuals who smoke cigarettes by cannabis use status, and investigated trends in cigarette dependence from 2002 to 2019 among cigarette smokers by cannabis use status and cigarette consumption (ie, cigarettes per day, CPD).

METHODS

Data were drawn from the 2002-2019 annual National Survey on Drug Use and Health and included US individuals aged 12+ years who used cigarettes at least once in the past month (n=231 572). Logistic regression was used to estimate the prevalence of cigarette dependence, measured as time to first cigarette <30 min, by past-month cannabis use (no use, non-daily use, daily use), and to estimate trends in cigarette dependence from 2002 to 2019 overall and stratified by cannabis use and smoking level (light, 1-5 CPD; moderate, 6-15 CPD; heavy, 16+ CPD).

RESULTS

Across all levels of cigarette use, cigarette dependence was significantly more common among individuals with daily cannabis use compared with those with non-daily or no cannabis use. From 2002 to 2019, cigarette dependence increased among cigarette smokers with non-daily cannabis use, and among light and moderate cigarette smokers with no cannabis use.

CONCLUSIONS

US individuals who use both cigarettes and cannabis report a higher prevalence of cigarette dependence relative to individuals who use cigarettes and do not use cannabis at virtually all levels of cigarette consumption. Further, cigarette dependence is increasing in the USA both among those who use and do not use cannabis. Given the increase in cannabis use among those using cigarettes, efforts to elucidate the nature of the association between cannabis and cigarette dependence are needed.

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.

Reasons for individual and concurrent use of vaped nicotine and cannabis: their similarities, differences, and association with product use

BACKGROUND

Understanding similarities, differences, and associations between reasons people vape nicotine and cannabis may be important for identifying underlying contributors to their co-use.

METHODS

A cross-sectional survey of 112 co-users of vaped nicotine and cannabis was conducted in 2020. A convenience sample of participants was recruited for the survey using Amazon Mechanical Turk. Participants responded to questions about their reasons for individual nicotine and cannabis product use and co-use and rated their level of agreement using numerical scales. Mean ratings for each reason for use subscale were examined across all participants and compared using paired samples t tests. Associations between reasons for use ratings and product consumption behaviors were examined using linear and logistic regression analyses.

RESULTS

Cannabis vaping and smoking exhibited similar mean ratings for user experience and product/substance-related reasons for use. Mean ratings for reasons related to product utility were similar for cannabis vaping and nicotine vaping. Mean ratings for utility-related reasons for use were higher for cannabis vaping than cannabis smoking (mean (SD), 3.6 (± 1.0) vs. 2.6 (± 1.2), p < 0.0001). On average, harm reduction-related reasons for use were rated higher for nicotine vaping than cannabis vaping (2.4 (± 1.6) vs. 1.8 (± 1.4), p < 0.0001). Regression models showed higher average ratings for utility-related (b = 0.32; 95% CI, 0.03-0.60) and harm reduction-related (b = 0.21; 95% CI, 0.04-0.37) reasons for nicotine vaping were associated with more frequent nicotine vaping (both p < 0.05). Higher average ratings for instrumentality-related reasons for co-use corresponded with more frequent monthly nicotine vaping (b = 0.26; 95% CI, 0.08-0.44) and higher odds of ever chasing cannabis with nicotine (aOR, 3.06; 95% CI, 1.29-7.30).

CONCLUSIONS

Vaping serves purposes that differ by substance; nicotine vaping was more closely related to reducing tobacco smoking-related harms, and cannabis vaping was more closely related to circumventing social problems posed by cannabis smoking. Lifetime sequential co-use practices and more frequent nicotine vaping were associated with enhancing the intoxicating effects of cannabis. While replication of these findings using non convenience-based sampling approaches is warranted, results underscore the need to consider shared and unique aspects of nicotine and cannabis vaping, as well as cross-substance interactions between nicotine and cannabis.

Cannabis use and co-use in tobacco smokers and non-smokers: prevalence and associations with mental health in a cross-sectional, nationally representative sample of adults in Great Britain, 2020

BACKGROUND AND AIMS

In Great Britain, cannabis and tobacco are commonly used substances, both independently and together. Use of either substance is associated with mental health problems, but prevalence of co-use within these populations is unknown. We aimed to (1) estimate prevalence of cannabis use, frequency of use and routes of administration (ROA) among tobacco smokers and non-smokers and (2) investigate mental health problems among non-users, tobacco-only, cannabis-only and co-users of both substances.

DESIGN

Cross-sectional national on-line survey (Action on Smoking and Health) fielded in February-March 2020.

SETTING

Great Britain.

PARTICIPANTS

Adults in Great Britain aged ≥ 18 years (n = 12 809) MEASUREMENTS: Tobacco use status [smoker (daily or non-daily) or non-smoker (never or ex-smoker)], cannabis use frequency (never to daily), detailed ROAs of cannabis, self-reported treatment for mental health disorders (depression, anxiety and any). Statistically weighted prevalence estimates were computed to ensure representativeness. Correlates were assessed using χ² tests and logistic regression.

FINDINGS

In Great Britain in 2020, 7.1% of the sample had used cannabis in the past year. Tobacco smokers had greater odds of using cannabis in the past year (21.9%) and using cannabis daily (8.7%) than non-smokers [past-year: 4.7%; adjusted odds ratio (aOR) = 10.07, 95% confidence interval (CI) = 8.4-12.0; daily: 0.7%; aOR = 24.6, 95% CI = 18.0-33.6)]. Co-administration with tobacco was common (46.2% of non-smokers, 80.8% of tobacco smokers). Co-users reported the highest prevalence of any treatment for mental health problems (54.2%) in comparison to cannabis-only (45.8%), tobacco-only (33.2%) and non-users (22.7%; all P ≤ 0.05).

CONCLUSION

Approximately one in 13 adults in Great Britain reports having used cannabis in the past year, approximately four times as many among cigarette smokers as non-smokers. Co-administration of cannabis and tobacco, via smoking, appears to be common, including among self-identified non-smokers. Mental health problems appear to be particularly common among dual users.

Unknown population-level harms of cannabis and tobacco co-use: if you don't measure it, you can't manage it

BACKGROUND

Nationally representative data of cannabis-tobacco co-use have shown that these substances are closely entwined and have significant adverse health consequences, although population-level harms of co-use are largely unknown. Current epidemiological research does not assess co-use in a manner that has yielded the necessary data to draw conclusions regarding health effects. This has given rise to a hidden population of co-users who go under-served. Therefore, this paper has two aims: (1) to review new challenges in the collection of co-use data due to rapidly changing regulations of cannabis and nicotine products and (2) to provide recommendations for the terminology and assessment of co-use.

ARGUMENT

We argue that: (1) the prevalence of co-use is not being assessed accurately at a population level and (2) changes in legalization have created novel challenges, but without proper monitoring the impact on co-use will go undetected. We propose a three-level tiered set of recommendations for co-use assessments, which includes assessments of cannabis, tobacco and co-use metrics ranging from least burdensome (self-report of co-administered products) to most burdensome (assays, event-level data).

CONCLUSIONS

We propose that clinical studies begin to incorporate cannabis-tobacco co-use assessments to justify better their inclusion in clinical trials and national surveillance surveys. Integration of co-use assessments will aid in understanding the true impact on co-use of the changing cannabis and tobacco/nicotine regulatory environments. Co-use is prevalent and problematic, and the ability to make conclusions about its health outcomes is hindered by lack of nuance in data collection. If you do not measure it, you cannot manage it.

Cannabis Use and the Onset of Cigarette and E-cigarette Use: A Prospective, Longitudinal Study Among Youth in the United States

INTRODUCTION

Cigarette use is declining among youth in the United States, whereas cannabis use and e-cigarette use are increasing. Cannabis use has been linked with increased uptake and persistence of cigarette smoking among adults. The goal of this study was to examine whether cannabis use is associated with the prevalence and incidence of cigarette, e-cigarette, and dual product use among U.S. youth.

METHODS

Data included U.S. youth ages 12-17 from two waves of the Population Assessment of Tobacco and Health (PATH) Study (Wave 1 youth, n = 13 651; Wave 1 tobacco-naive youth, n = 10 081). Weighted logistic regression models were used to examine the association between Wave 1 cannabis use and (1) Wave 1 prevalence of cigarette/e-cigarette use among Wave 1 youth and (2) Wave 2 incidence of cigarette/e-cigarette use among Wave 1 tobacco-naive youth. Analyses were run unadjusted and adjusted for demographics and internalizing/externalizing problem symptoms.

RESULTS

Wave 1 cigarette and e-cigarette use were significantly more common among youth who used versus did not use cannabis. Among Wave 1 tobacco-naive youth, Wave 1 cannabis use was associated with significantly increased incidence of cigarette and e-cigarette use by Wave 2.

CONCLUSIONS

Youth who use cannabis are more likely to report cigarette and e-cigarette use, and cannabis use is associated with increased risk of initiation of cigarette and e-cigarette use over 1 year. Continued success in tobacco control-specifically toward reducing smoking among adolescents-may require focusing on cannabis, e-cigarette, and cigarette use in public health education, outreach, and intervention efforts.

IMPLICATIONS

These data extend our knowledge of cigarette and e-cigarette use among youth by showing that cannabis use is associated with increased prevalence and incidence of cigarette and e-cigarette use among youth, relative to youth who do not use cannabis. The increasing popularity of cannabis use among youth and diminished perceptions of risk, coupled with the strong link between cannabis use and tobacco use, may have unintended consequences for cigarette control efforts among youth.

Prevalence and correlates of daily blunt use among U.S. African American, Hispanic, and White adults from 2014 to 2018

OBJECTIVE

Blunt smoking presents unique public health concerns relative to other methods of marijuana use, including greater exposure to toxins and carcinogens as well as increased risk for cannabis use disorder. This study examines correlates of self-reported daily blunt use among a nationally representative sample of adult blunt users in the United States.

METHOD

We pooled and analyzed 5 years of cross-sectional data from n = 10,826 adult blunt smokers in the United States using the National Survey on Drug Use and Health (2014-2018). Multiple logistic regression analysis examined correlates of daily blunt use among non-Hispanic White, non-Hispanic African American, and Hispanic/Latino adult blunt users in the United States. Next, multiple logistic regression analyses stratified by race/ethnicity were conducted. This study examined: (a) socio-demographic (age, sex, and income); (b) behavioral (alcohol, tobacco, and illicit drug use); (c) intrapersonal (depression); and (d) regulatory (marijuana laws) factors.

RESULTS

African Americans had the greatest prevalence of daily blunt use (24.2%), relative to Whites (9.1%) and Hispanic/Latinos (13.9%) (p < .001). African Americans aged 26-34 years old (adjusted odds ratio [Adj OR]: 1.37) and living in medical marijuana states (Adj OR: 1.28) were more likely to be daily blunt users; these factors were not associated with daily blunt use in the full sample or in stratified models of Whites or Hispanic/Latinos. Alcohol use was negatively associated with daily blunt use among Whites and Hispanic/Latinos but not African Americans.

CONCLUSIONS

Socio-demographic, behavioral, and regulatory factors appear differently associated with daily blunt use across racial/ethnic groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Post-legalization changes in marijuana use in a sample of young California adults

INTRODUCTION

Increasing marijuana use among young adults is a concern due to substantial acute and chronic health risks. More widespread use of marijuana may also lead to increased use of nicotine and tobacco products. California legalized commercial sales of marijuana for recreational use as of January 2018. To our knowledge no studies to date have examined subsequent changes in marijuana use. The goal of this study was to test the hypothesis that marijuana use frequency increased following legalization of recreational sales. We also hypothesized that increased marijuana frequency would predict greater frequency of nicotine/tobacco consumption.

METHODS

The study was a secondary analysis of a longitudinal study of tobacco use among non-daily cigarette smokers. Participants were 563 young adults (aged 18-24) enrolled in 2015-16 and followed quarterly for 3 years.

RESULTS

A piecewise multilevel regression model indicated that marijuana use frequency did not change over time, including following legalization. More frequent use was associated with younger age and identifying as white (ps < 0.001, which did not change after legalization. Marijuana frequency was moderated by sex (p < .001), with women reporting increasing and men decreasing use over time. It was also associated with tobacco use, and particularly with e-cigarette use following legalization (ps < 0.05).

CONCLUSIONS

Findings suggest legalization of recreational marijuana sales had a negligible overall impact on days of use among young adults, but may have prompted increased interest in marijuana among some, particularly women and e-cigarette users. The continuously evolving landscape around these products indicates that ongoing surveillance is critical.

Tobacco/nicotine and marijuana co-use motives in young adults: Associations with substance use behaviors one year later

Co-administration of tobacco/nicotine and marijuana (e.g., using both products on the same occasion by mixing them in the same delivery device) is a risky, yet common, form of co-use among young adults. Understanding motivations for co-administration co-use, and how these are associated with subsequent use and related problems, is needed to inform policy, prevention, and intervention efforts. We conducted a latent class analysis on 342 young adults with past-year co-administration of tobacco/nicotine and marijuana to determine how emergent classes of 16 co-use motives were associated with use and co-administration co-use of tobacco/nicotine and marijuana one year later. Four classes emerged: (1) a high all class that reported high endorsement of all motives, (2) a high coping class that reported high endorsement of co-use due to coping with stress and bad moods, (3) a high social/physiological reinforcement class that reported low endorsement of coping but high probability of social and relaxation motives and motives to even out effects of each substance, and (4) a low all class that reported low endorsement of all motives. The high all and high coping classes reported greater frequency and quantity of single substance use and co-administration. The high coping class reported more marijuana consequences than the low all class. The high all and high coping classes reported younger age of initiation of each individual substance and co-administration. Considering co-use motives may be useful in identifying those at highest risk for future use and consequences and tailoring interventions to the distinct needs of co-use subgroups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Total and cause-specific mortality in patients with personality disorders: the association between comorbid severe mental illness and substance use disorders

PURPOSE

To investigate the mortality in both in- and outpatients with personality disorders (PD), and to explore the association between mortality and comorbid substance use disorder (SUD) or severe mental illness (SMI).

METHODS

All residents admitted to Norwegian in- and outpatient specialist health care services during 2009-2015 with a PD diagnosis were included. Standardized mortality ratios (SMRs) with 95% confidence intervals (CI) were estimated in patients with PD only and in patients with PD and comorbid SMI or SUD. Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) with 95% CIs in patients with PD and comorbid SMI or SUD compared to patients with PD only.

RESULTS

Mortality was increased in both in- and outpatients with PD. The overall SMR was 3.8 (95% CI 3.6-4.0). The highest SMR was estimated for unnatural causes of death (11.0, 95% CI 10.0-12.0), but increased also for natural causes of death (2.2, 95% CI 2.0-2.5). Comorbidity was associated with higher SMRs, particularly due to poisoning and suicide. Patients with comorbid PD & SUD had almost four times higher all-cause mortality HR than patients with PD only; young women had the highest HR.

CONCLUSION

The SMR was high in both in- and outpatients with PD, and particularly high in patients with comorbid PD & SUD. Young female patients with PD & SUD were at highest risk. The higher mortality in patients with PD cannot, however, fully be accounted for by comorbidity.

Internet-Delivered Tobacco Treatment for People Using Cannabis: A Randomized Trial in Two Australian Cannabis Clinics

Background

Tobacco use is disproportionately higher in people who smoke cannabis than in the general population, increasing the severity of dependence for cannabis use, decreasing the likelihood of successful quit attempts for both cannabis and tobacco, and increasing the risk of relapse for both substances. Opportunities to address tobacco use in people using cannabis are being missed.

Objective

This study aims to investigate the feasibility of engaging tobacco smokers who were accessing treatment for cannabis, with a tobacco-focused internet-based Healthy Lifestyle Program (iHeLP; 4 modules). It was hypothesized that iHeLP completion would be associated with decreases in tobacco use and improved quality of life (QoL) and psychological health. It was also hypothesized that iHeLP completion would be higher in those who additionally received telephone support. Given that iHeLP aimed to improve healthy lifestyle behaviors, it was also hypothesized that there would be reductions in cannabis use.

Methods

A total of 13 smokers seeking treatment for cannabis use were randomly allocated to iHeLP alone or iHeLP plus telephone support. Participants were engaged in iHeLP over 8 weeks and completed a 12-week follow-up assessment.

Results

Results from 10 participants who completed the follow-up indicated that the acceptability of iHeLP was high-very high in terms of general satisfaction, appropriateness of services, effectiveness, and met need. Additional telephone support increased modal module completion rates for iHeLP from 0 to 2 but did not provide any other significant advantages over iHeLP alone in terms of cannabis use, tobacco use, QoL, or psychological health. Participants in the iHeLP-alone condition (n=4) reported a mean reduction of 5.5 (SD 9.00) tobacco cigarettes per day between baseline and follow-up, with a concomitant mean reduction in expired carbon monoxide (CO) of 5.5 parts per million (ppm, SD 6.91). The iHeLP plus telephone support group (n=6) reported a mean reduction of 1.13 (SD 4.88) tobacco cigarettes per day and a mean reduction of 9.337 ppm of expired CO (SD 5.65). A urinalysis indicated that abstinence from cannabis was achieved by 2 participants in the iHeLP-alone group and three participants in the iHeLP plus telephone support group. Between baseline and follow-up assessments, iHeLP-alone participants reported a mean reduction in days of use of cannabis in the prior month of 6.17 days (SD 13.30). The average reduction in the number of days of cannabis use for the iHeLP plus telephone support group was also 6.17 days (SD 13.59).

Conclusions

Despite the small sample size, this study provides preliminary support for the use of internet-delivered, tobacco-focused interventions in tobacco smokers seeking treatment for cannabis use.

Remission from nicotine dependence among people with severe mental illness who received help/services for tobacco/nicotine use

OBJECTIVES

A growing body of evidence supports pharmacological interventions to assist smoking cessation in people with severe mental illness (SMI); that is, lifetime major depressive disorder, bipolar disorders, or schizophrenia. Little is known about whether behavioral services are also associated with high probability of remission from nicotine dependence as compared to other types of help/services received (pharmacological, behavioral, or both).

METHODS

A sample of 726 American lifetime adult smokers with SMI and a history of nicotine dependence, who received help/services for tobacco/nicotine use, were identified. These data came from a limited public use dataset, the 2012-2013 NESARC-III. Survival analysis was used to compare the probability of remission from nicotine dependence and the time needed for full remission from nicotine dependence by type of help/services received for tobacco/nicotine use.

RESULTS

Remission was more frequent among those who received behavioral services. In addition, the average time from onset of nicotine dependence until full remission from nicotine dependence was shorter among those who received behavioral services.

CONCLUSIONS

The current study suggests a clinical need for behavioral interventions to promote the probability of remission from nicotine dependence among smokers with SMI. Health care providers could play a role in educating and encouraging smokers with SMI to seek and utilize behavioral services.

Treatment Implications Associated with Cannabis and Tobacco Co-Use

PURPOSE OF THE REVIEW

The goal of this article is to summarize the treatment-focused literature on cannabis and tobacco co-use and the treatment implications of co-use. This review will focus on: 1) the impact of co-use on cessation outcomes, 2) compensatory use/substitution of the non-treated substance among co-users, and 3) treatment interventions to address co-use. This article will highlight the limitations to co-use captured in the literature and offer considerations and directives for co-use research and treatment moving forward.

RECENT FINDINGS

The degree to which co-use affects cessation for a single, targeted substance remains in question, as the literature is largely mixed. Cannabis treatment trials are better equipped to answer these questions given that they do not typically exclude tobacco users. While the relationship between tobacco use and poorer cannabis outcomes appears to have some evidence, the reverse relationship (cannabis use affecting tobacco outcomes) is not consistently supported.

SUMMARY

The co-use of cannabis and tobacco and its impact on single substance cessation and/or compensatory substance use during cessation is generally overlooked in treatment trials, while interventions to address both substances are rare. Capturing co-use adds burden for researchers, clinicians, and participants, but is warranted given the prevalence of co-use and a rapidly changing cannabis and tobacco regulatory environment, which may further complicate co-occurring substance use. Co-users are a heterogeneous population; trials focused on co-users, in addition to better data capture and consistent terminology, will aid in an understanding of nuanced patterns of co-use critical to inform treatment interventions.

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.

Perceived neighborhood disorder and frequency of marijuana use among emerging adult African American females

Emerging adult African American females are at increased risk for cannabis use disorders. Ecological models suggest that African Americans' increased risk for substance use disorders and associated adverse outcomes may result from chronic exposure to contextual disadvantages, such as living in economically deprived and disorganized communities. However levels of vulnerability for developing cannabis use disorders vary, even among residents of disadvantaged neighborhoods. Therefore, studies focused on within group differences are necessary. This study examined the relationship between frequency of marijuana use and perceived neighborhood disorder. The sample included 117 African American emerging adult females (M_age = 23.6 ± 3.4). After providing informed consent, participants completed a semi-structured interview that included the Neighborhood Environment Scale and a self-report measure of marijuana use. Additionally, participants provided a urine sample that was tested for the presence of psychoactive drugs. 46% tested positive for marijuana and 45% reported using marijuana in the past 30 days. 27% reported frequent/heavy use. Results from multinomial logistic regression analysis indicated a significant relationship between perceived neighborhood disorder and heavy marijuana use (AOR = 3.3; 95% CI = 1.06 - 10.29). Findings suggest African American emerging adult female residents of economically disadvantaged neighborhoods who appraise their environments as disorganized may be at heighten risk for problematic marijuana use and should be targeted for intervention. Moreover, the findings support the need for multi-systems interventions. As policy makers consider the legalization of marijuana, it is important that differences in marijuana use behaviors and negative outcomes across groups and contexts are taken into consideration.

Prenatal tobacco and marijuana co-use: Sex-specific influences on infant cortisol stress response

Although tobacco (TOB) and marijuana (MJ) are often co-used in pregnancy, little is known regarding the joint impact of MJ + TOB on offspring development, including the developing neuroendocrine stress system. Further, despite evidence for sex-specific impacts of prenatal exposures in preclinical models, the sex-specific impact of prenatal MJ + TOB exposure on offspring neuroendocrine regulation in humans is also unknown. In the current study, overall and sex-specific influences of MJ + TOB co-use on offspring cortisol regulation were investigated over the first postnatal month. 111 mother-infant pairs from a low-income, racially and ethnically diverse sample participated. Based on Timeline Followback data with biochemical verification, three groups were identified: (1) prenatal MJ + TOB, (2) TOB only, and (3) controls. Baseline cortisol and cortisol stress response were assessed at seven points over the first postnatal month using a handling paradigm in which saliva cortisol was assessed before, during, and following a standard neurobehavioral assessment (NICU Network Neurobehavioral Scale). A significant exposure group by offspring sex interaction emerged for baseline cortisol over the first postnatal month (p = .043); MJ + TOB-exposed males showed 35-36% attenuation of baseline cortisol levels vs. unexposed and TOB-exposed males (ps ≤ .003), while no effects of exposure emerged for females. Both MJ + TOB and TOB-exposed infants showed a 22% attenuation of cortisol stress response over the first postnatal month vs. unexposed infants (ps < .03), with evidence for sex-specific effects in exploratory analyses. Although results are preliminary, this is the first human study to investigate the impact of prenatal MJ exposure on infant cortisol and the first to reveal a sex-specific impact of prenatal MJ + TOB on cortisol regulation in humans. Future, larger-scale studies are needed to elucidate mechanisms and consequences of sex-specific effects of MJ and MJ + TOB on the developing neuroendocrine stress system.

Factors Associated With Marijuana Use Among Treatment-seeking Adult Cigarette Smokers in the Criminal Justice Population

OBJECTIVES

Due to the elevated rates of cigarette use and marijuana use within the criminal justice system, it is critical to develop a stronger understanding of tobacco and marijuana co-use among this population to inform future interventions.

METHODS

This study is a secondary analysis of baseline data from a smoking cessation randomized clinical trial of adults (n = 500) in a community correction program. Participants were classified as using cigarettes only or both cigarettes and marijuana through either self-report or positive urine drug screening. Demographics and measures regarding legal, drug use, smoking, mental health, and interpersonal histories were assessed. Logistic regression analyses were conducted to assess factors associated with co-use.

RESULTS

Among adults who smoked cigarettes, 25% reported current marijuana use. Individuals who used both cigarettes and marijuana were more likely than those who only used cigarettes to be African American (80%), male (73.6%), and younger (M = 32.4 [SD = 11.0]). Increasing difficulties with last quit attempt was associated with a reduction in the likelihood of co-use (odds ratio [OR] 0.75, 95% confidence interval [CI] 0.60-0.94, P < 0.05), and benzodiazepine (OR 9.09, 95% CI 1.25-65.94, P < 0.05) and opioid (OR 8.17, 95% CI 2.03-32.93, P < 0.01) use was significantly associated with an increased likelihood of co-use.

CONCLUSIONS

This study identified several factors that are associated with an increased risk of cigarette and marijuana co-use among a community correction population. These findings will be valuable for informing targeted prevention and treatment interventions.

Hospitalizations and Deaths Associated with EVALI

BACKGROUND

As of January 7, 2020, a total of 2558 hospitalized patients with nonfatal cases and 60 patients with fatal cases of e-cigarette, or vaping, product use-associated lung injury (EVALI) had been reported to the Centers for Disease Control and Prevention (CDC).

METHODS

In a national study, we compared the characteristics of patients with fatal cases of EVALI with those of patients with nonfatal cases to improve the ability of clinicians to identify patients at increased risk for death from the condition. Health departments reported cases of EVALI to the CDC and included, when available, data from medical-record abstractions and patient interviews. Analyses included all the patients with fatal or nonfatal cases of EVALI that were reported to the CDC as of January 7, 2020. We also present three case reports of patients who died from EVALI to illustrate the clinical characteristics common among such patients.

RESULTS

Most of the patients with fatal or nonfatal cases of EVALI were male (32 of 60 [53%] and 1666 of 2498 [67%], respectively). The proportion of patients with fatal or nonfatal cases was higher among those who were non-Hispanic white (39 of 49 [80%] and 1104 of 1818 [61%], respectively) than among those in other race or ethnic groups. The proportion of patients with fatal cases was higher among those 35 years of age or older (44 of 60 [73%]) than among those younger than 35 years, but the proportion with nonfatal cases was lower among those 35 years of age or older (551 of 2514 [22%]). Among the patients who had an available medical history, a higher proportion of those with fatal cases than those with nonfatal cases had a history of asthma (13 of 57 [23%] vs. 102 of 1297 [8%]), cardiac disease (26 of 55 [47%] vs. 115 of 1169 [10%]), or a mental health condition (32 of 49 [65%] vs. 575 of 1398 [41%]). A total of 26 of 50 patients (52%) with fatal cases had obesity. Half the patients with fatal cases (25 of 54 [46%]) were seen in an outpatient setting before hospitalization or death.

CONCLUSIONS

Chronic conditions, including cardiac and respiratory diseases and mental health conditions, were common among hospitalized patients with EVALI.

Locating Medical and Recreational Cannabis Outlets for Research Purposes: Online Methods and Observational Study

Background

An increasing number of states have laws for the legal sale of recreational and medical cannabis out of brick-and-mortar storefront locations. Given the proliferation of cannabis outlets and their potential for impact on local economies, neighborhood structures, and individual patterns of cannabis use, it is essential to create practical and thorough methods to capture the location of such outlets for research purposes. However, methods used by researchers vary greatly between studies and often do not include important information about the retailer’s license status and storefront signage.

Objective

The aim of this study was to find methods for locating and observing cannabis outlets in Los Angeles County after the period when recreational cannabis retailers were granted licenses and allowed to be open for business.

Methods

The procedures included searches of online cannabis outlet databases, followed by methods to verify each outlet’s name, address, license information, and open status. These procedures, conducted solely online, resulted in a database of 531 outlets. To further verify each outlet’s information and collect signage data, we conducted direct observations of the 531 identified outlets.

Results

We found that 80.9% (430/531) of these outlets were open for business, of which 37.6% (162/430) were licensed to sell cannabis. Unlicensed outlets were less likely to have signage indicating the store sold cannabis, such as a green cross, which was the most prevalent form of observed signage. Co-use of cannabis and tobacco/nicotine has been found to be a substantial health concern, and we observed that 40.6% (175/430) of cannabis outlets had a tobacco/nicotine outlet within sight of the cannabis outlet. Most (350/430, 81.4%) cannabis outlets were located within the City of Los Angeles, and these outlets were more likely to be licensed than outlets outside the city.

Conclusions

The findings of this study suggest that online searches and observational methods are both necessary to best capture accurate and detailed information about cannabis outlets. The methods described here can be applied to other metropolitan areas to more accurately capture the availability of cannabis in an area.