No abstract

We sought to estimate the prevalence of lifetime psilocybin use among a national sample of US adults ages 18 and older and associated demographic/substance use correlates. Pooled data from the 2015–2018 National Survey on Drug Use and Health were utilized among 168,650 individuals 18 years or older. An estimated 9.68% of individuals reported lifetime use of psilocybin. Differences were found among demographics, drug use, and sexual identity, with bisexual identification being associated with greater lifetime use. Nearly two-thirds of individuals who have ever used Lysergic acid diethylamide (LSD), methamphetamine, and/or heroin also reportedly used psilocybin. Findings from the present study can inform harm reduction efforts and behavioral health messaging.

Background Blunts are partially or fully hollowed-out cigars or cigarillos that are filled with marijuana. Despite the high prevalence of blunt use, very few studies assess this specific method of cannabis administration. YouTube, a popular video-sharing website, has the potential to provide insights into blunt use. Methods The purpose of this study was to examine the content of YouTube videos that discuss blunts. A sample of 41 videos was coded for content. Results The 41 videos had a total of 27,579,636 views. Most of the individuals in the videos were male (85%) and many appeared to be White (80%) and under the age of 25 (46%). Only 34% of the videos had an age restriction. The majority of messages in the videos promoted blunt use (93%) and showed at least one person rolling (76%) and/or smoking (66%) a blunt. The videos mainly consisted of introductions to blunt use (76%) and tips and personal experiences with blunt use (73%). Conclusions YouTube videos on blunt use are readily available and primarily promote the use of blunts. Future research should continue to monitor YouTube content and develop videos on social media platforms that inform consumers of the health effects associated with blunt use.

Objective: To identify the predictors of suicide for firefighters (FFs), emergency medical technicians (EMTs), and law enforcement officers (LEOs). Methods: We used baseline data from FFs/EMTs (n = 69) and LEOs (n = 81) to investigate the unique predictors for both first-responder subtypes. We conducted confirmatory factor analysis on validated assessments of posttraumatic stress disorder (PTSD) and depression. Measures of attachment, resilience, PTSD, depression, generalized anxiety, trauma history, and substance use were the independent variables in two backward stepwise regressions predicting suicide. Results: Substance use and somatic depression were significant predictors for LEOs, whereas affective depression, anhedonia, externalizing behaviors, trauma history, and generalized anxiety were significant predictors for FFs/EMTs. Limitations: These data are cross-sectional and should be modeled longitudinally over the course of treatment. Conclusion: Separate constructs influence suicide for LEOs and FFs/EMTs.

Adolescent cigarette smokers have an increased risk of sustained smoking into adulthood. Smartphone applications (apps) for smoking cessation are a promising treatment resource. However, research on apps for adolescent smoking cessation is limited. This study compared smoking cessation mobile apps targeting an adolescent audience with popular cessation apps for a general audience. Adolescent and general-audience apps were identified by searching the Google Play and Apple App Stores (November 2016). Two coders assessed each app for adherence to clinical practice guidelines for tobacco and adolescent-specific content (2016–2017) and developed a summary score that summed all adherence and adolescent content criteria. Eight adolescent apps were identified and compared with the top 38 general apps (as ranked by Apple and Google). Both general and adolescent apps commonly had adherence content related to developing a quit plan (general: 73.68 per cent; adolescent: 87.50 per cent) and enhancing motivation by describing the rewards of not smoking (general: 76.32 per cent; adolescent: 62.50 per cent). Adolescent-specific content such as peer influence on smoking was common in adolescent apps but not in general apps (general: 5.26 per cent; adolescent: 62.50 per cent). Adolescent apps had a higher general adherence content summary score [t (44) = 2.55, p = .01] and a higher adolescent content summary score [t (7.81) = 2.47, p = .04] than the general apps. On average, adolescent cessation apps included more adherence content and adolescent-specific content than general apps. Future research is needed to determine the extent to which adolescents engage with the adherence content available in these apps.