IntroductionLittle is known about the prevalence and predictors of adolescents’ intention to quit or reduce use of e-cigarettes and/or cannabis. MethodsFrequencies of intention to change (quit, reduce) e-cigarettes and/or cannabis use were examined among 23,915 surveyed middle and high school students with sole and co-use. Predictors of intention to change were identified via LASSO/multilevel logistic regression. ResultsAmong those with sole e-cigarette use (n = 543), 40.9 % intended to quit and 24.1 % intended to reduce; non-daily e-cigarette use predicted intention to quit and reduce e-cigarettes (p’s < 0.03). Among those with sole cannabis use (n = 546), 10.6 % intended to quit and 25.1 % intended to reduce; absence of cannabis cravings predicted intention to reduce cannabis use (p < 0.01). Among those with co-use (n = 816), 26.2 % intended to either quit or reduce (quit/reduce) both substances, 27.5 % intended to quit/reduce e-cigarettes only, and 6.9 % intended to quit/reduce cannabis only. No predictors emerged for intention to change e-cigarette use among those with co-use (p’s > 0.09), but younger age, lack of poly-tobacco use, and lack of cannabis craving predicted intention to quit/reduce cannabis use (p’s < 0.04). ConclusionsMore than half of adolescents with past-month e-cigarette use, regardless of concurrent cannabis use, expressed interest in changing their use. However, only heaviness of e-cigarette use emerged as a predictor of intention to change suggesting. While fewer students expressed interest in changing their cannabis use, cannabis cravings and poly-tobacco use predicted intent to change. Overall, findings emphasize the need to tailor interventions towards adolescents engaging in more problematic substance use patterns.

IntroductionCo-use of tobacco and cannabis has long been an issue for prevention and intervention efforts targeting these substances. Blunt use—cannabis inside a cigar wrapper—has been a consistent mode of cannabis consumption since the 1990s. Since then, both tobacco control and cannabis policies have changed considerably. This paper examines the influence of tobacco taxes and smoke-free policies as well as medical and recreational cannabis policies on blunt use among young people. MethodsCombining state-level tobacco control and cannabis policy data with the restricted-access youth cohort of the Population Assessment of Tobacco and Health (PATH) study, we use multilevel logistic regression models to examine the impact of these policies on past-year blunt use. ResultsWhile we found a main effect whereby both legal medical and recreational cannabis policies are associated with higher odds of blunt use among youth, interaction effects demonstrate that this association only emerges in states lacking a comprehensive tobacco smoke-free policy. In states with smoke-free policies, we found no significant associations between cannabis policy and odds of blunt use. ConclusionsDenormalization through smoke-free policies may mitigate the effects of recreational and medical cannabis policies on blunt use. Smoke-free policies represent a possible cost-effective mechanism to curb the co-use of tobacco and cannabis in the form of blunts. States with medical and recreational cannabis policies may benefit from greater prevention efforts for young people specifically focused on blunt use, especially in states that do not have strong tobacco control.

Background and objectivesAdolescent electronic cigarette (EC) use has reached epidemic rates and has been linked to numerous mental health and psychosocial stressors (PS). There is limited qualitative data on PS for adolescents with e-cigarette, or vaping, product-use associated lung injury (EVALI), a severe complication of EC use. MethodsAll patients hospitalized at Children’s Medical Center in Dallas, Texas from 2018 to 2022 and met CDC case definitions for EVALI were included in the analysis. PS were extracted from the electronic health record and analyzed for recurring themes using the HEADSS assessment as a framework. Results were summarized using descriptive statistics, and representative quotations were selected to highlight each theme. ResultsForty-three adolescents (mean age 16.3 years; 62.8 % male; 39.5 % Non-Hispanic White, 60.5 % Hispanic) were included in the analysis, and 40 (93 %) reported PS. The most common themes were family (51 %; “restraining order issued against 28-year-old brother”), polysubstance use (77 %; “experimenting with…ecstasy, LSD, CCC, misusing Adderall”), and mental health (63 %; “has been suicidal since he was ‘a toddler’”). Less commonly, patients reported PS related to peers (28 %; “spending the entire day at the cemetery where his best friend was buried”), school (49 %; “attending his second alternative school”), and the legal system (19 %; “placed in juvenile detention, released, and will be on probation”). ConclusionsAdolescents with EVALI had PS that were chronic, severe, and involving multiple domains. These findings emphasize the importance of psychosocial screening in adolescents and coordinating interdisciplinary care with mental health and social services.

BackgroundGender-specific interventions are crucial in addressing substance use disorders —particularly cannabis use disorder — as they allow for tailored therapeutic approaches and increase the likelihood of successful outcomes. However, differences in therapeutic processes and outcomes between males and females are often not observed, making the prognosis and development of such interventions more difficult. ObjectiveThis study aimed to examine the moderating role of sex in the relationship between treatment admission profile characterized by indicators of cannabis use and sociodemographic sources of gender inequality (e.g., employment status) and adherence and outcome at discharge. MethodA multicentric retrospective observational study was conducted with a sample of 3,814 outpatients diagnosed with cannabis use disorder. Electronic health records were used for data analysis. ResultsThe interaction between sex and the number of children, as well as pre-treatment cannabis use, predicted lower treatment adherence, particularly among females. Additionally, the interaction between sex and the number of children predicted outcomes at discharge, with females showing a higher likelihood of dropout compared to males. Discussion and conclusionEnhanced comprehensive treatment with intensified contingency management programs should be prioritized for females (especially those with children) who have consumed cannabis in the month before treatment. Adopting a treatment policy framework incorporating sex/gender-sensitive therapist training and evaluative measures is essential for optimizing treatment outcomes for all patients.

IntroductionSmoking for weight control is a well-documented behavior. There is emerging evidence to suggest electronic cigarettes (e-cigarettes) may be used for similar motivations yet measure development for the use of e-cigarettes for weight control has received less attention. The objective of the current study was to adapt and explore the psychometric properties of The Smoking-Related Weight and Eating Episodes Test (SWEET) for e-cigarette users. MethodsYoung adult (N=1875) current cigarette, e-cigarette, and dual users completed the original SWEET (SWEET-C) and/or adapted SWEET for e-cigarette use (SWEET-EC) based on current tobacco product use. Demographics, associated e-cigarette characteristics, nicotine dependence, outcome expectancies, and eating disorder behaviors were also assessed. Participants were recruited online and measures were completed via self-report. ResultsFour exploratory factor analyses using principal components extraction and direct oblimin rotation methods were run to explore the SWEET-C and SWEET-EC. A one-factor solution explaining 66% of the variance was retained for the SWEET-C, and a one-factor solution explaining 73 % of the variance was retained for the SWEET-EC. Both measures exhibited excellent internal consistency. Higher SWEET-EC scores were observed among dual users, and were associated with daily e-cigarette use, JUUL use, self-reported vaping for weight control, older age, higher body mass index, and problematic eating behaviors. ConclusionOur findings support the adaptation of the SWEET-EC to measure e-cigarette use for weight control. The SWEET-EC will help to better understand how individuals use e-cigarettes to curb eating behavior and for weight control.

BackgroundCo-use of tobacco and cannabis is common. However, few studies have examined the temporal sequencing through which individuals initiate co-use, and how these patterns vary across age. This study addresses this gap by examining the specific products and temporal sequencing through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis. Among adolescents, young adults, and adults who co-used tobacco and cannabis in the past 30 days, we examined (a) whether tobacco or cannabis was used first in their lifetime and (b) which specific tobacco or cannabis product (e.g., nicotine e-cigarette, cannabis edible) was the first used. MethodsData were from a cross-sectional national survey (N = 6,131, 13–40 years old) in which participants reported ever use, past-30-day-use, and order of use for 17 different tobacco and cannabis products. Results were analyzed overall and by age group (13–20; 21–24; 25–40). Results38.4 % of participants reported use of both tobacco and cannabis in the past 30 days. Among these participants, 71.4 % used tobacco first in their lifetime (66.6 % < 21; 71.7 % 21–24; 76.6 % > 24). Approximately 60 % of participants who initiated co-use with tobacco reported nicotine e-cigarettes as their first tobacco product (63.3 % < 21; 66.7 % 21–24; 49.6 % > 24). ConclusionsThe majority of participants who used both tobacco and cannabis used tobacco first in their lifetime, and nicotine e-cigarettes were the most common form of tobacco initiation, particularly among adolescents and young adults. Findings emphasize the need for co-use prevention programs to target common products of initiation.

Problematic Smartphone Use (PSU) among adolescents is growing problem worldwide and multiple studies investigated its associated parental risk and protective factors. The available studies, however, typically do not address the multidimensional nature of PSU. They also rely heavily on cross-sectional designs with a small number of potentially contributing variables. This 6-month prospective study examines the relationships between a large range of parental factors with the three known dimensions of PSU: social environment pressure, emotional gain, and addiction-like behaviors. Specifically the study examines whether, and to what extent, the various dimensions of current and future PSU are related to parental support giving, general quality of communication, specific communication about smartphone use, and the four common mediation strategies. The sample comprised 1187 triads of mothers, fathers, and adolescents. The data-analysis pipeline consisted of three consecutive phases: (1) analyses of parental factors at baseline, (2) analyses of parental factors change over 6-months, and (3) interaction analyses between parental factors and the time-period of the study. The pipeline elicited three factors that moderated the change in PSU over time: Communication about smartphones with mothers, parental support giving, and parental co-use. The implications of these findings are discussed in the context of the existing literature and the familial, microsystem theoretical framework. Altogether, this prospective study scrutinized key parental factors and strategies that could be utilized by parents for coping with one of the most difficult parenting challenges of the digital era. Further research may build upon these findings to develop designated interventions to reduce PSU.

BackgroundCannabis use is on the rise, but it is unclear how use is changing among individuals with serious psychological distress (SPD) compared to the general population as well as what associations this may have with mental health service use. MethodsRetrospective cohort study using the National Survey on Drug Use and Health (NSDUH) 2009–19 public use files of 447,228 adults aged ≥ 18 years. Multivariable logistic regression and predictive margin methods were used to estimate linear time trends in any and greater-than-weekly levels of cannabis use by year and SPD status and rates of psychiatric hospitalization and outpatient mental health care.Findings: Rates of any and weekly-plus cannabis use increased similarly among individuals with SPD compared to those without from 200 to 2014 but more rapidly in SPD every year from 2015 to 2019 (p < 0.001). Among individuals with SPD, no use was associated with a 4.2 % probability of psychiatric hospitalization, significantly less than less-than-weekly (5.0 %, p = 0.037) and weekly-plus cannabis use (5.1 %, p = 0.028). For outpatient mental health care, no use was associated with a 27.4 % probability (95 % CI 26.7–28.1 %) of any outpatient care, significantly less than less than weekly use (32.6 % probability, p < 0.001) and weekly-plus use (29.9 % probability, p = 0.01). ConclusionsCannabis use is increasing more rapidly among individuals with SPD than the general population, and is associated with increased rates of psychiatric hospitalization and outpatient service use. These findings can inform policy makers looking to tailor regulations on advertising for cannabis and develop public health messaging on cannabis use by people with mental illness.

BackgroundSelf-efficacy is a key concept in various behavioral theories. Refusal self-efficacy is important in understanding issues related to psychoactive substance use. To facilitate related research, this study translated and validated the Chinese version of the 14-item Psychoactive Substance Refusal Self-efficacy Questionnaire (PSRSEQ) among adolescents. There is a debate about whether such a refusal self-efficacy scale should be unidimensional or multidimensional. MethodsA survey was conducted among 601 adolescent case-clients of social workers in Hong Kong from July 2021 to June 2022. Various psychometric properties were examined. ResultsThe confirmatory factor analysis (CFA) supported the original 3-factor structure of the PSRSEQ (emotional relief, opportunistic, and social facilitation refusal self-efficacy), which showed satisfactory psychometric properties (internal consistency, convergent validity in terms of significant negative correlations with the intention of psychoactive substance use in the next year and psychoactive substance use behavior in the past six months, and the absence of floor effect) but ceiling effect was obvious. Notably, unacceptable discriminant validity of one subscale and strong correlations among the three subscales were observed. In another set of analyses using two split-half subsamples, the exploratory factor analysis identified a 1-factor 14-item structure, which was confirmed by CFA and showed satisfactory psychometric properties. ConclusionsThe 1-factor PSRSEQ, instead of the one having a 3-factor structure, was preferred and recommended to assess psychoactive substance refusal self-efficacy among Chinese adolescents. It is warranted to validate the scale in other adolescent and age groups in future studies.

Despite declines in adolescent nicotine vaping during the COVID-19 pandemic, vaping continues to be a public health issue for many adolescents. Most studies on teen reasons for vaping and on barriers and facilitators of vaping were conducted prior to the pandemic. Because teen culture changes so rapidly, and because the pandemic had wide-reaching effects on teens and mental health, it is critical to have a current understanding what helps adolescents to quit vaping (facilitators), as well as what prevents them from quitting (barriers) in order to design effective and engaging interventions. The objective of this qualitative study was to examine reasons for vaping, and barriers and facilitators to quitting vaping among high school age (14–18 years old) students. Students (n = 28; 60.7 % female; 50 % White, 10.7 % Black or African American, 25 % Asian or Asian American, 3.6 % other non-Hispanic; 7.2 % Hispanic; 21.4 % former vapers, 78.6 % current vapers) were recruited online from four regions in the US and participated in one of five online focus groups. We conducted a content analysis of the focus groups using a team-based coding approach. The most frequently cited reasons for vaping were mood, peer influence, and boredom. Results also showed that the stigma of seeking treatment acted as a barrier to quitting vaping, while self-reflection acted as a facilitator. In addition, two factors, peer influence and health effects, served as both barriers and facilitators, depending on the context. Program developers can use this information to design engaging vaping cessation programs intended for adolescents.