Addictive behaviors最新文献

{"title":"Products and patterns through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis","authors":"Devin M. McCauley ,&nbsp;Jessica Liu ,&nbsp;Shivani Mathur Gaiha ,&nbsp;Bonnie Halpern-Felsher","doi":"10.1016/j.addbeh.2024.108105","DOIUrl":"10.1016/j.addbeh.2024.108105","url":null,"abstract":"<div><h3>Background</h3><p>Co-use of tobacco and cannabis is common. However, few studies have examined the temporal sequencing through which individuals initiate co-use, and how these patterns vary across age. This study addresses this gap by examining the specific products and temporal sequencing through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis. Among adolescents, young adults, and adults who co-used tobacco and cannabis in the past 30 days, we examined (a) whether tobacco or cannabis was used first in their lifetime and (b) which specific tobacco or cannabis product (e.g., nicotine e-cigarettes, cannabis edibles) was the first used.</p></div><div><h3>Methods</h3><p>Data were from a cross-sectional national survey (N = 6,131, 13–40 years old) in which participants reported ever use, past-30-day-use, and order of use for 17 different tobacco and cannabis products. Results were analyzed overall and by age group (13–20; 21–24; 25–40).</p></div><div><h3>Results</h3><p>38.4% of participants reported use of both tobacco and cannabis in the past 30 days. Among these participants, 70.9% used tobacco first in their lifetime (66.6% &lt; 21; 71.7% 21–24; 76.6% &gt; 24). Approximately 60% of participants who initiated co-use with tobacco reported nicotine e-cigarettes as their first tobacco product (63.3% &lt; 21; 66.7% 21–24; 49.6% &gt; 24).</p></div><div><h3>Conclusions</h3><p>The majority of participants who used both tobacco and cannabis used tobacco first in their lifetime, and nicotine e-cigarettes were the most common form of tobacco initiation, particularly among adolescents and young adults. Findings emphasize the need for co-use prevention programs to target common products of initiation.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"158 ","pages":"Article 108105"},"PeriodicalIF":3.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141763133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The moderating role of sex in the relationship between cannabis use treatment admission profile and treatment processes and outcomes: A gender perspective","authors":"Daniel Dacosta-Sánchez ,&nbsp;Yanina Michelini ,&nbsp;Angelina Pilatti ,&nbsp;Fermín Fernández-Calderón ,&nbsp;Óscar M. Lozano ,&nbsp;Bella M. González-Ponce","doi":"10.1016/j.addbeh.2024.108103","DOIUrl":"10.1016/j.addbeh.2024.108103","url":null,"abstract":"<div><h3>Background</h3><p>Gender-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.</p></div><div><h3>Objective</h3><p>This 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.</p></div><div><h3>Method</h3><p>A 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.</p></div><div><h3>Results</h3><p>The 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.</p></div><div><h3>Discussion and conclusion</h3><p>Enhanced 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.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108103"},"PeriodicalIF":3.7,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141623002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An adaptation and exploratory factor analysis of the smoking-related weight and eating episodes test (SWEET) for electronic cigarette users","authors":"Caitlin E. Smith ,&nbsp;Tyler B. Mason ,&nbsp;Naim Wright ,&nbsp;Emily Ruttledge ,&nbsp;Jordan E. Norris ,&nbsp;John R. Monterosso ,&nbsp;Alayna P. Tackett","doi":"10.1016/j.addbeh.2024.108102","DOIUrl":"10.1016/j.addbeh.2024.108102","url":null,"abstract":"<div><h3>Introduction</h3><p>Smoking 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.</p></div><div><h3>Methods</h3><p>Young 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.</p></div><div><h3>Results</h3><p>Four 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.</p></div><div><h3>Conclusion</h3><p>Our 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.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108102"},"PeriodicalIF":3.7,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intention to quit or reduce e-cigarettes, cannabis, and their co-use among a school-based sample of adolescents","authors":"Jessica Liu ,&nbsp;Sarah J. Knoll ,&nbsp;Michael P. Pascale ,&nbsp;Caroline A. Gray ,&nbsp;Alec Bodolay ,&nbsp;Kevin W. Potter ,&nbsp;Jodi Gilman ,&nbsp;A. Eden Evins ,&nbsp;Randi M. Schuster","doi":"10.1016/j.addbeh.2024.108101","DOIUrl":"10.1016/j.addbeh.2024.108101","url":null,"abstract":"<div><h3>Introduction</h3><p>Little is known about the prevalence and predictors of adolescents’ intention to quit or reduce use of e-cigarettes and/or cannabis.</p></div><div><h3>Methods</h3><p>Frequencies of intention to change (quit, reduce) e-cigarettes and/or cannabis use were examined among 23,915 surveyed middle and high school students with sole and co-use. Predictors of intention to change were identified via LASSO/multilevel logistic regression.</p></div><div><h3>Results</h3><p>Among those with sole e-cigarette use (n = 543), 40.9 % intended to quit and 24.1 % intended to reduce; non-daily e-cigarette use predicted intention to quit and reduce e-cigarettes (p’s &lt; 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 &lt; 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 &gt; 0.09), but younger age, lack of poly-tobacco use, and lack of cannabis craving predicted intention to quit/reduce cannabis use (p’s &lt; 0.04).</p></div><div><h3>Conclusions</h3><p>More than half of adolescents with past-month e-cigarette use, regardless of concurrent cannabis use, expressed interest in changing their use. However, only heaviness of e-cigarette use emerged as a predictor of intention to change suggesting. While fewer students expressed interest in changing their cannabis use, cannabis cravings and poly-tobacco use predicted intent to change. Overall, findings emphasize the need to tailor interventions towards adolescents engaging in more problematic substance use patterns.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108101"},"PeriodicalIF":3.7,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0306460324001503/pdfft?md5=7f29544903a33f76b5a01915cfeb0fd7&pid=1-s2.0-S0306460324001503-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141581793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cannabis policy liberalization is only associated with increased blunt use if states lack strong tobacco control","authors":"Maria M. Orsini ,&nbsp;Mike Vuolo ,&nbsp;Brian C. Kelly","doi":"10.1016/j.addbeh.2024.108100","DOIUrl":"10.1016/j.addbeh.2024.108100","url":null,"abstract":"<div><h3>Introduction</h3><p>Co-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.</p></div><div><h3>Methods</h3><p>Combining 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.</p></div><div><h3>Results</h3><p>While 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.</p></div><div><h3>Conclusions</h3><p>Denormalization 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.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108100"},"PeriodicalIF":3.7,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0306460324001497/pdfft?md5=7cc756dbf1186aa58025cc00cad8255a&pid=1-s2.0-S0306460324001497-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of ENDS devices and modifications to vape cannabis among adolescents and young adults who also vape nicotine","authors":"Rachel R. Ouellette,&nbsp;Meghan E. Morean,&nbsp;Juhan Lee,&nbsp;Grace Kong","doi":"10.1016/j.addbeh.2024.108099","DOIUrl":"https://doi.org/10.1016/j.addbeh.2024.108099","url":null,"abstract":"<div><h3>Background</h3><p>Electronic nicotine delivery systems (ENDS) are the most used tobacco product among adolescents and young adults (AYAs) and are increasingly used to vape cannabis. It is unclear what vaping devices and ENDS modifications are used most frequently by AYAs who vape both nicotine and cannabis.</p></div><div><h3>Methods</h3><p>AYAs (aged 14–29) reporting ENDS use in the past 30 days were recruited via Qualtrics (N = 1,011). We conducted three multivariable logistic regression models examining differences in likelihood of: 1) vaping cannabis in the past 30 days; 2) mixing cannabis and nicotine liquids; and 3) using nicotine devices to vape cannabis; based on type of vaping device used most often, controlling for age, socio-economic status, gender, race, frequency of ENDS use, and other cannabis use.</p></div><div><h3>Results</h3><p>40 % (n = 405) of AYAs reported vaping both nicotine and cannabis in the past 30 days. AYAs who used vape pens most often were more likely to have vaped cannabis concentrates in the past 30 days compared to individuals using disposable vapes (aOR = 2.72, 95 %CI = 1.75–4.21, <em>p</em> &lt; 0.001). AYAs who used open systems most often (i.e., vape pens, mods, or e-hookah) were more likely than individuals using closed systems (i.e., disposable vapes, rechargeable pods or cigalikes) to combine nicotine and cannabis e-liquids (aOR = 2.03, 95 %CI = 1.43–2.89, <em>p</em> &lt; 0.001) or use a nicotine device to vape cannabis (aOR = 1.66, 95 %CI = 1.17–2.34, <em>p</em> = 0.005).</p></div><div><h3>Implications</h3><p>Co-use of cannabis and nicotine via similar devices, particularly vape pens and other open-systems, warrants collaborative regulatory efforts to mitigate co-use of both substances, with a particular need for increased regulation of cannabis vaping products.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108099"},"PeriodicalIF":3.7,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141606241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes of attentional bias in patients with alcohol use disorder during abstinence: A longitudinal study","authors":"Berta Escudero ,&nbsp;Francisco Arias Horcajadas ,&nbsp;Laura Orio","doi":"10.1016/j.addbeh.2024.108098","DOIUrl":"10.1016/j.addbeh.2024.108098","url":null,"abstract":"<div><h3>Background</h3><p>Alcohol Use Disorder (AUD) is linked to an attentional bias towards alcohol-related cues (e.g. images, smells), which acquire incentive properties and promote continued consumption.</p></div><div><h3>Method</h3><p>We investigated how the general and alcohol attentional bias evolved longitudinally in AUD patients along two periods of abstinence: t = 0 (baseline, 1–3 months of abstinence) and t = 1 (follow-up; 6 months of abstinence), as well as their relationship with alcohol-related variables. General and alcohol-specific attentional bias were evaluated by the Classic and the Alcohol Stroop tests (neutral and alcohol conditions) in abstinent AUD patients and controls.</p></div><div><h3>Results</h3><p>At t = 0, the AUD group exhibited both general and alcohol-specific attentional biases, with greater effect in the general bias. At t = 1, alcohol-specific attentional bias decreased specifically in the AUD group and reached control levels (with interference index levels increasing from 1-3 months to 6 months). However, general attentional bias showed a trend toward improvement but it did not significantly change through abstinence process (linear mixed models, controlling for age, BMI, sex and education).</p></div><div><h3>Conclusions</h3><p>In AUD patients, general and alcohol attentional biases exhibit different trajectories during abstinence, with the attentional bias toward alcohol improving significantly throughout this process whereas general attentional bias is maintained.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108098"},"PeriodicalIF":3.7,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0306460324001473/pdfft?md5=ecb36f4d176a240942b3d4f475ae304d&pid=1-s2.0-S0306460324001473-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal examination of ENDS characteristics, flavors, and nicotine content for cigarette cessation: Findings from PATH waves 5–6","authors":"Olufemi Erinoso ,&nbsp;Olatokunbo Osibogun ,&nbsp;Wei Li ,&nbsp;Mohammad Ebrahimi Kalan","doi":"10.1016/j.addbeh.2024.108097","DOIUrl":"10.1016/j.addbeh.2024.108097","url":null,"abstract":"<div><h3>Background</h3><p>A subpopulation of adults who smoke cigarettes use electronic nicotine device systems (ENDS) for cigarette cessation. This study examined the relationship between ENDS flavors, device types, and nicotine concentration with past month cigarette abstinence among adults using ENDS for cigarette cessation.</p></div><div><h3>Methods</h3><p>We used the Population Assessment of Tobacco and Health (PATH) Study (waves 5 and 6) to identify adults who self-reported using ENDS to quit cigarettes at baseline (wave 5) and investigated their cigarette abstinence at follow-up (wave 6) [n = 1252]. Measures assessed include ENDS features (flavors, device types, nicotine concentration) at baseline and past-month abstinence from cigarette smoking at follow-up. Weighted descriptive analysis was used, and multivariable logistic regression models examined ENDS features associated with past-month cigarette abstinence, adjusting for demographic factors and tobacco dependence at baseline.</p></div><div><h3>Results</h3><p>Most participants used disposable devices (37.2 %; 95 % CI:33.2–41.5), followed by refillable tanks (30.2 %; 95 % CI:26.2–34.5). Additionally, fruit (41.3 %; 95 % CI:37.3–45.5), followed by menthol (19.1 %; 95 % CI:16.2–22.4), and tobacco (18.5 %; 95 % CI:15.5–22.1) were the most common flavors. The most common nicotine concentration used was 1–6 mg/ml (38.8 %; 95 % CI:34.6–43.2). Furthermore, in the adjusted model, daily ENDS users at baseline had 86 % (95 % CI:1.08–3.18) higher odds of past month cigarette abstinence at follow-up, than individuals who indicated ‘not at all’ to the current use of ENDS at baseline. There were no significant differences by preferred flavors, device type and nicotine concentrations (p-values &gt; 0.05).</p></div><div><h3>Conclusions</h3><p>Daily ENDS users had higher odds of quitting cigarettes compared to those who stopped using ENDS. However, the type of device, flavoring, and nicotine concentration used by ENDS users were not associated with past-month cigarette abstinence at follow-up two years later.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108097"},"PeriodicalIF":3.7,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cannabis and vaping nicotine: An exploration of risk factors using a nationally representative sample of youth and young adults","authors":"Elizabeth K. Do ,&nbsp;Stephanie N. Yoon ,&nbsp;Tatum McKay ,&nbsp;Barbara A. Schillo ,&nbsp;Elizabeth C. Hair","doi":"10.1016/j.addbeh.2024.108094","DOIUrl":"10.1016/j.addbeh.2024.108094","url":null,"abstract":"<div><h3>Background</h3><p>Given that cannabis and e-cigarettes are among the most commonly used substances among young people, there is a need to identify risk factors for concurrent cannabis consumption and nicotine vaping among youth and young adults.</p></div><div><h3>Methods</h3><p>Data were obtained from the Truth Longitudinal Cohort, collected from September 2020 to March 2021, among a cohort aged 15–24 years (N = 6379). Chi-square tests were conducted to detect differences in sample characteristics by dual use status (never e-cigarette and never cannabis users, never cannabis and former/noncurrent e-cigarette users, never e-cigarette and former/noncurrent cannabis users, former/noncurrent e-cigarette and cannabis users, current e-cigarette only users, current cannabis only users, and concurrent cannabis and e-cigarette dual users). Multinomial logistic regression was used to determine key demographic variables predicting dual use status.</p></div><div><h3>Results</h3><p>Household tobacco use (Relative Risk Ratio, RRR = 4.93), higher sensation seeking (RRR = 3.98), and mental health score (RRR = 2.58) were associated with higher risk of dual use. Being 15–17 years (RRR = 0.22), being female (RRR = 0.59) and having parents with an education level of some college or more (RRR = 0.64) were associated with lower risk of dual use.</p></div><div><h3>Conclusion</h3><p>Findings suggest the need to carefully monitor cannabis and vaping nicotine among young people. The identification of risk factors provides additional guidance for prevention and treatment efforts, suggesting the need to address use of both substances and target those most at risk.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108094"},"PeriodicalIF":3.7,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disproportionate increase in cannabis use among people with serious psychological distress and associations with psychiatric service use in the United States, 2009–2019","authors":"Andrew S. Hyatt,&nbsp;Michael William Flores,&nbsp;Benjamin Lê Cook","doi":"10.1016/j.addbeh.2024.108095","DOIUrl":"https://doi.org/10.1016/j.addbeh.2024.108095","url":null,"abstract":"<div><h3>Background</h3><p>Cannabis 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.</p></div><div><h3>Methods</h3><p>Retrospective 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.</p><p><strong>Findings:</strong> 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 &lt; 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 &lt; 0.001) and weekly-plus use (29.9 % probability, p = 0.01).</p></div><div><h3>Conclusions</h3><p>Cannabis 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.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"157 ","pages":"Article 108095"},"PeriodicalIF":3.7,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}