Changes in online marketing and sales practices among non-medical cannabis retailers in 5 US cities, 2022 to 2023.

Objectives: Given the evolving cannabis marketplace (e.g., products, marketing strategies), this study examined online cannabis marketing practices over time. Methods: In 2022 and 2023, researchers assessed website content (e.g., age verification, sales, delivery, warnings, ad content, promotional strategies) among 175 randomly-selected cannabis retailers' websites across 5 US cities (Denver, Colorado; Seattle, Washington; Portland, Oregon; Las Vegas, Nevada; Los Angeles [LA], California, n=∼35/city). Analyses compared data from 2022 vs. 2023 and considered regulatory factors across cities. Results: Similar to 2022, in 2023, 76.6 % required age verification for site entry, 85.1 % used social media promotion, and 90.9 % offered online sales (82.4 % of which required age verification and 34.6 % offered delivery). There were significant (p < .05) decreases from 2022 to 2023 in the proportions indicating medical card requirements (27.4 % to 15.4 %), purchase limits (59.4 % to 47.4 %), health warnings (38.9 % to 29.7 %), health benefits (60 % to 47.4 %), and discounts/price promotions (92.6 % to 86.3 %). In 2023, proportions differed across cities in ways reflecting whether state/local law allowed online sales (>90 % in Denver, Las Vegas, LA), allowed discounts/price promotions (100 % in Denver and Las Vegas), or required health warnings (48-60 % in Seattle and LA vs. < 20 % elsewhere). Despite all sites prohibiting youth-oriented content and all but Denver and Las Vegas prohibiting health claims, 30.3 % posted content targeting youth/young adults (LA = 8.1 % to Denver = 74.2 %) and 47.4 % health claims (Seattle = 27.0 % to Denver = 71.0 %). Conclusions: Online cannabis retail presents risks for access and appeal to minors, emphasizes health benefits, and uses price promotions, regardless of restrictions, indicating need for greater regulatory efforts.

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach.

BACKGROUND: Substance misuse presents significant global public health challenges. Understanding transitions between substance types and the timing of shifts to polysubstance use is vital to developing effective prevention and recovery strategies. The gateway hypothesis suggests that high-risk substance use is preceded by lower-risk substance use. However, the source of this correlation is hotly contested. While some claim that low-risk substance use causes subsequent, riskier substance use, most people using low-risk substances also do not escalate to higher-risk substances. Social media data hold the potential to shed light on the factors contributing to substance use transitions. OBJECTIVE: By leveraging social media data, our study aimed to gain a better understanding of substance use pathways. By identifying and analyzing the transitions of individuals between different risk levels of substance use, our goal was to find specific linguistic cues in individuals' social media posts that could indicate escalating or de-escalating patterns in substance use. METHODS: We conducted a large-scale analysis using data from Reddit, collected between 2015 and 2019, consisting of over 2.29 million posts and approximately 29.37 million comments by around 1.4 million users from subreddits. These data, derived from substance use subreddits, facilitated the creation of a risk transition data set reflecting the substance use behaviors of over 1.4 million users. We deployed deep learning and machine learning techniques to predict the escalation or de-escalation transitions in risk levels, based on initial transition phases documented in posts and comments. We conducted a linguistic analysis to analyze the language patterns associated with transitions in substance use, emphasizing the role of n-gram features in predicting future risk trajectories. RESULTS: Our results showed promise in predicting the escalation or de-escalation transition in risk levels, based on the historical data of Reddit users created on initial transition phases among drug-related subreddits, with an accuracy of 78.48% and an F1-score of 79.20%. We highlighted the vital predictive features, such as specific substance names and tools indicative of future risk escalations. Our linguistic analysis showed that terms linked with harm reduction strategies were instrumental in signaling de-escalation, whereas descriptors of frequent substance use were characteristic of escalating transitions. CONCLUSIONS: This study sheds light on the complexities surrounding the gateway hypothesis of substance use through an examination of web-based behavior on Reddit. While certain findings validate the hypothesis, indicating a progression from lower-risk substances such as marijuana to higher-risk ones, a significant number of individuals did not show this transition. The research underscores the potential of using machine learning with social media analysis to predict substance use transitions. Our results point toward future directions for leveraging social media data in substance use research, underlining the importance of continued exploration before suggesting direct implications for interventions.

Eating disorder symptoms and comorbid mental health risk among teens recruited to a digital intervention research study via two online approaches.

INTRODUCTION: It is crucial to identify and evaluate feasible, proactive ways to reach teens with eating disorders (EDs) who may not otherwise have access to screening or treatment. This study aimed to explore the feasibility of recruiting teens with EDs to a digital intervention study via social media and a publicly available online ED screen, and to compare the characteristics of teens recruited by each approach in an exploratory fashion. METHOD: Teens aged 14-17 years old who screened positive for a clinical/subclinical ED or at risk for an ED and who were not currently in ED treatment completed a baseline survey to assess current ED symptoms, mental health comorbidities, and barriers to treatment. Bivariate analyses were conducted to examine differences between participants recruited via social media and those recruited after completion of a widely available online EDs screen (i.e., National Eating Disorders Association [NEDA] screen). RESULTS: Recruitment of teens with EDs using the two online approaches was found to be feasible, with 934 screens completed and a total of 134 teens enrolled over 6 months: 77% (n = 103) via social media 23% (n = 31) via the NEDA screen. Mean age of participants (N = 134) was 16 years old, with 49% (n = 66) identifying as non-White, and 70% (n = 94) identifying as a gender and/or sexual minority. Teens from NEDA reported higher ED psychopathology scores (medium effect size) and more frequent self-induced vomiting and driven exercise (small effect sizes). Teens from NEDA also endorsed more barriers to treatment, including not feeling ready for treatment and not knowing where to find a counselor or other resources (small effect sizes). DISCUSSION: Online recruitment approaches in this study reached a large number of teens with an interest in a digital intervention to support ED recovery, demonstrating the feasibility of these outreach methods. Both approaches reached teens with similar demographic characteristics; however, teens recruited from NEDA reported higher ED symptom severity and barriers to treatment. Findings suggest that proactive assessment and intervention methods should be developed and tailored to meet the needs of each of these groups. PUBLIC SIGNIFICANCE: This study examined the feasibility of recruiting teens with EDs to a digital intervention research study via social media and NEDA's online screen, and demonstrated differences in ED symptoms among participants by recruitment approach.

An mHealth Intervention to Address Depression and Improve Antiretroviral Therapy Adherence Among Youths Living With HIV in Uganda: Protocol for a Pilot Randomized Controlled Trial.

BACKGROUND: People living with HIV often struggle with mental health comorbidities that lower their antiretroviral therapy (ART) adherence. There is growing evidence that depression treatment may improve ART adherence and result in improved HIV outcomes. Given that mental health services are severely underequipped in low-resource settings, including in Uganda, new solutions to increase access to mental health care and close the treatment gap are urgently needed. This protocol paper presents the Suubi-Mhealth study, which proposed to develop a mobile health (mHealth) intervention for use among Ugandan youths (14-17 years) with comorbid HIV and depression, taking into account their unique contextual, cultural, and developmental needs. OBJECTIVE: The proposed study is guided by the following objectives: (1) to develop and iteratively refine an intervention protocol for Suubi-Mhealth based on formative work to understand the needs of youths living with HIV; (2) to explore the feasibility and acceptability of Suubi-Mhealth on a small scale to inform subsequent refinement; (3) to test the preliminary impact of Suubi-Mhealth versus a waitlist control group on youths' outcomes, including depression and treatment adherence; and (4) to examine barriers and facilitators for integrating Suubi-Mhealth into health care settings. METHODS: Youths will be eligible to participate in the study if they are (1) 14-17 years of age, (2) HIV-positive and aware of their status, (3) receiving care and ART from one of the participating clinics, and (4) living within a family. The study will be conducted in 2 phases. In phase 1, we will conduct focus group discussions with youths and health care providers, for feedback on the proposed intervention content and methods, and explore the feasibility and acceptability of the intervention. In phase II, we will pilot-test the preliminary impact of the intervention on reducing depression and improving ART adherence. Assessments will be conducted at baseline, 1-, 2-, and 6-months post intervention completion. RESULTS: Participant recruitment for phase 1 is completed. Youths and health care providers participated in focus group discussions to share their feedback on the proposed Suubi-Mhealth intervention content, methods, design, and format. Transcription and translation of focus group discussions have been completed. The team is currently developing Suubi-Mhealth content based on participants' feedback. CONCLUSIONS: This study will lay important groundwork for several initiatives at the intersection of digital therapeutics, HIV treatment, and mental health, especially among sub-Saharan African youths, as they transition through adolescence and into adult HIV care settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05965245; https://clinicaltrials.gov/study/NCT05965245. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54635.

Sexual Health Behaviors and Knowledge Among Ugandan Adolescent Girls: Implications for Advancing Comprehensive Sexual Health Education Technology.

Background: Adolescent girls in Uganda have four-fold HIV infections than adolescent boys. Several barriers to accessing comprehensive sexual health education exist for adolescent girls in Uganda, including unequal, social, and economic statuses, limited access to education and health care services, discrimination, and violence. Objective: This study qualitatively examines sexual health behaviors and literacy among Ugandan adolescent girls and explores how technology may be leveraged to improve sexual and reproductive health outcomes in this population. Methods: Four focus group discussions (FGDs) were conducted among 32 adolescent girls aged 14-17 years enrolled in Suubi mHealth. Participants were randomly selected from four secondary schools participating in a randomized clinical trial known as Suubi4Her (N = 1260). FGDs were conducted in the local language, audio-recorded, transcribed verbatim, and translated. Translated transcripts were imported into Dedoose for data management and coding. Emerging themes included Influences for Sex/Relationships, HIV Knowledge, and Sources of Sexual Health Information. Results: Participants reported common influences for sexual engagement included seeking resource security, limited parental communication, and peer influences. Participants also demonstrated knowledge gaps, requesting information such as how to prevent unplanned pregnancies and HIV, endorsing sexual health myths, and describing limitations to accessing sexual health information. Conclusions: Noticeable inconsistencies and limited access to information and resources regarding basic sexual health knowledge were reported, which inevitably increases adolescent girls' risks for adverse sexual and reproductive health outcomes. Developing culturally appropriate interventions may help advance the sexual and reproductive health needs of Ugandan adolescent girls.

Assessment of Online Marketing and Sales Practices Among Recreational Cannabis Retailers in Five U.S. Cities.

Background: With more states legalizing recreational cannabis, examining cannabis retail and marketing is crucial, as it may influence consumers' perceptions and behaviors. Particularly understudied is online cannabis retail. Methods: In Spring 2022, coders collected and analyzed data regarding retailer characteristics, age verification, and marketing strategies (e.g., product availability, health-related content, promotions, website imagery) among 195 cannabis retail websites in five U.S. cities (Denver, Colorado; Seattle, Washington; Portland, Oregon; Las Vegas, Nevada; Los Angeles, California). Descriptive analyses characterized the websites overall and across cities. Results: Overall, 80.5% verified age for website entry, and 92.8% offered online purchases (92.3% of retailers in Seattle, where prohibited). Of these, 82.9% required age verification for purchases, and 30.9% offered delivery. Almost all (>92%) offered flower/bud, concentrates, edibles, vaping devices, topicals, and tinctures. Health warnings were displayed on 38.3% of websites. Although all five states required health warnings regarding use during pregnancy, only 10.3% had these warnings. In addition, 59.0% posted some unsubstantiated health claims, most often indicating physical and mental health benefits (44.6%). Although Colorado, Washington, and Oregon prohibit health claims, 51.2-53.8% of these retailers posted them. Discounts, samples, or promotions were present on 90.8% of websites; 63.6% had subscription/membership programs. Subpopulations represented in website content included the following: 27.2% teens/young adults, 26.2% veterans, 7.2% sexual/gender minorities, and 5.6% racial/ethnic minorities. Imagery also targeted young people (e.g., 29.7% party/cool/popularity, 18.5% celebrity/influencer endorsement). Conclusions: Regulatory efforts are needed to better monitor promotional strategies and regulatory compliance (e.g., health claims, youth-oriented content, underage access) among online cannabis retailers.

Self-Identified Stage in Recovery and Substance-Use Behaviors among Pregnant and Postpartum Women and People with Opioid Use Disorder.

Opioid use among pregnant and postpartum women and people (PPWP) has significant health repercussions. This study explores how substance-use behaviors may vary by stage in recovery among PPWP with opioid use disorder (OUD). We recruited 29 PPWP with OUD. "High-risk" participants self-identified as "not being engaged in treatment" or "new or early in their recovery" (n = 11); "low-risk" participants self-identified as being "well-established" or "in long-term recovery" (n = 18). Participants were queried regarding sociodemographic, mental health, and drug-misuse factors; urine drug screens were collected at baseline. Univariate group comparisons between high-risk and low-risk PPWP were conducted. High-risk PPWP were more likely to self-identify as non-Hispanic African American and more likely to report current opioid use, other illicit drugs, and tobacco. High-risk PPWP had higher opioid cravings versus low-risk PPWP. High-risk PPWP were more likely to screen positive on urine tests for non-opioid drugs and on concurrent use of both non-opioid drugs and opioids versus low-risk participants. PPWP earlier in recovery are at higher-risk for opioid and other illicit drug misuse but are willing to disclose aspects of their recent use. PPWP early in recovery are an ideal population for interventions that can help facilitate recovery during the perinatal period and beyond.

Examining Symptoms of Stimulant Misuse and Community Support Among Members of a Recovery-Oriented Online Community.

Misuse of prescription and non-prescription stimulants and related overdose deaths represent a growing public health crisis that warrants immediate intervention. We examined 100 posts and their respective comments from a public, recovery-oriented Reddit community in January 2021 to explore content related to DSM-V stimulant use disorder symptoms, access and barriers to recovery, and peer support. Using inductive and deductive methods, a codebook was developed with the following primary themes: 1) DSM-V Symptoms and Risk Factors, 2) Stigma/Shame, 3) Seeking Advice or Information, 4) Supportive or Unsupportive Comments. In 37% of posts community members reported taking high doses and engaging in prolonged misuse of stimulants. Nearly half of posts in the sample (46%) were seeking advice for recovery, but 42% noted fear of withdrawal symptoms or a loss of productivity (18%) as barriers to abstinence or a reduction in use. Concerns related to stigma, shame, hiding use from others (30%), and comorbid mental health conditions (34%) were also noted. Social media content analysis allows for insight into information about lived experiences of individuals struggling with substance use disorders. Future online interventions should address recovery barriers related to stigma and shame as well as fears associated with the physical and psychological impact of quitting stimulant misuse.

Using Social Media to Examine Themes Surrounding Fentanyl Misuse and Risk Indicators.

Background: Opioid misuse is a crisis in the United States, and synthetic opioids such as fentanyl pose risks for overdose and mortality. Individuals who misuse substances commonly seek information and support online due to stigma and legal concerns, and this online networking may provide insight for substance misuse prevention and treatment. We aimed to characterize topics in substance-misuse related discourse among members of an online fentanyl community. Method: We investigated posts on a fentanyl-specific forum on the platform Reddit to identify emergent substance misuse-related themes potentially indicative of heightened risk for overdose and other adverse health outcomes. We analyzed 27 posts and 338 comments with a qualitative codebook established using a subset of user posts via inductive and deductive methods. Posts and comments were independently reviewed by two coders with a third coder resolving discrepancies. The top 200 subreddits with the most activity by r/fentanyl members were also inductively analyzed to understand interests of r/fentanyl users. Results: Functional/quality of life impairments due to substance misuse (29%) was the most commonly occurring theme, followed by polysubstance use (27%) and tolerance/dependence/withdrawal (20%). Additional themes included drug identification with photos, substances cut with other drugs, injection drugs, and past overdoses. Media-focused subreddits and other drug focused communities were among the communities most often followed by r/fentanyl users. Conclusion: Themes closely align with DSM-V substance use disorder symptoms for fentanyl and other substances. High involvement in media-focused subreddits and other substance-misuse-related communities suggests digital platforms as acceptable for overdose prevention and recovery support interventions.

How do teens with a history of suicidal behavior and self-harm interact with social media?

BACKGROUND: This study examines how engagement with depression-related social media content varies by teens who report suicidal ideation, suicide attempts, and nonsuicidal self-injury (NSSI) versus those who had not experienced each behavior. METHODS: Teens aged 15-17 years old (N = 93) were recruited from social media platforms from October 2016 to August 2018. Participants were asked three open-ended questions about the advantages and disadvantages of networking about depression-related content on social media. We conducted a qualitative analysis to capture themes in responses by question item. Univariate analyses were conducted to compare differences in the frequency of themes endorsed among the behavioral groups versus their counterparts. RESULTS: Among participants (female, 73%; non-White, 45%; sexual minority, 57%), most (93%, n = 87) endorsed depressive symptoms. Sixty-five percent (n = 60) endorsed suicidal ideation within the past year, who were more likely to indicate unhelpful social interactions (p = .02) as a disadvantage of following depression content than peers who did not endorse suicidal ideation within the past year. Eighty percent (n = 74) endorsed lifetime experience of NSSI, who were more likely to indicate negative impact on relationships (p = .01) from posting depression content than peers who did not experience NSSI. Fifty-eight percent (n = 54) endorsed a lifetime suicide attempt, who were more likely to mention offering solutions (p = .03) to someone posting concerning content than peers who did not endorse a lifetime suicide attempt. CONCLUSIONS: This study provides diverse and unique perspectives on how engagement with depression-related social media varies by mental health behaviors and informs the use of social media for recruitment and outreach for teens.

Association between Sexual Violence Victimization and Electronic Vaping Product Use among Adolescents: Findings from a Population-based Study.

BACKGROUND: Although studies have investigated the association between sexual violence (SV) victimization and substance use, few studies have examined the association between SV victimization and electronic vaping product (EVP) use among adolescents in the United States. The objective of this study was to examine the cross-sectional association between SV victimization and EVP use among adolescents. METHODS: Data were pooled from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 28,135 adolescents (51.2% female) was analyzed using binary logistic regression. The outcome variable investigated was EVP use, and the main explanatory variable was SV victimization. RESULTS: Of the 28,135 adolescents, the prevalence of past 30-day EVP use and SV victimization was 22.7% and 10.8%, respectively. Controlling for other factors, adolescents who experienced SV had 1.52 times higher odds of being EVP users when compared to their counterparts who did not experience SV (AOR = 1.52, p < .001, 95% CI = 1.27-1.82). Other factors associated with EVP use included cyberbullying victimization, symptoms of depression, and current use of cigarettes, alcohol, and marijuana. CONCLUSIONS: Experiencing SV was associated with EVP use. Future studies that employ longitudinal designs may offer more insight into the mechanisms underlying the association between SV victimization and EVP use. In addition, school-based interventions that focus on sexual violence prevention and reducing substance use among adolescents are warranted.

Impact of the COVID-19 pandemic on burnout and perceived workplace quality among addiction treatment providers.

BACKGROUND: This study examines the impact of the COVID-19 pandemic on work satisfaction, work-related stress, and perceived work quality among substance use treatment providers to better understand challenges faced among this group during the pandemic. METHODS: Participants of this study were 91 addiction treatment providers (e.g., therapists, physicians, community support specialists, administrative staff) recruited from various treatment facilities (e.g., inpatient and outpatient settings). Mixed method analyses were conducted to assess self-reported burnout, sources of work-related stress, and perceived work quality during the pandemic. Responses from providers reporting COVID-19 related decreases in work quality were compared to responses from providers who reported their quality of work had increased or remained the same. RESULTS: Results demonstrated half of providers (51%) reported their quality of work had decreased. This perceived decrease in quality of work was associated with higher levels of emotional exhaustion (M = 17.41 vs. M = 12.48, p = 0.002), workplace stress (M = 42.80 vs. M = 30.84, p = 0.001), as well as decreased enjoyment of work (83% vs. 51%, p = 0.001) and decreased personal accomplishment (M = 20.64 vs. M = 23.05 p = 0.001). Qualitative investigations further illustrated that increased hours, changes in work schedules, work-life balance challenges, difficulties with client communication, and increased client needs were contributing factors increasing stress/burnout and decreasing perceived work quality. CONCLUSIONS: Addiction treatment providers experience high levels of burnout and workplace stress. Additionally, many individuals perceived a decrease in their quality of work during the COVID-19 pandemic. Addiction treatment facility administration should address these challenges to support the well-being of clinical staff and the clients they serve both during and after the COVID-19 pandemic.

Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use-Associated Lung Injury Outbreak: Comparative Study.

BACKGROUND: Vaping or e-cigarette use has become dramatically more popular in the United States in recent years. e-Cigarette and vaping use-associated lung injury (EVALI) cases caused an increase in hospitalizations and deaths in 2019, and many instances were later linked to unregulated products. Previous literature has leveraged social media data for surveillance of health topics. Individuals are willing to share mental health experiences and other personal stories on social media platforms where they feel a sense of community, reduced stigma, and empowerment. OBJECTIVE: This study aimed to compare vaping-related content on 2 popular social media platforms (ie, Twitter and Reddit) to explore the context surrounding vaping during the 2019 EVALI outbreak and to support the feasibility of using data from both social platforms to develop in-depth and intelligent vaping detection models on social media. METHODS: Data were extracted from both Twitter (316,620 tweets) and Reddit (17,320 posts) from July 2019 to September 2019 at the peak of the EVALI crisis. High-throughput computational analyses (sentiment analysis and topic analysis) were conducted. In addition, in-depth manual content analyses were performed and compared with computational analyses of content on both platforms (577 tweets and 613 posts). RESULTS: Vaping-related posts and unique users on Twitter and Reddit increased from July 2019 to September 2019, with the average post per user increasing from 1.68 to 1.81 on Twitter and 1.19 to 1.21 on Reddit. Computational analyses found the number of positive sentiment posts to be higher on Reddit (P<.001, 95% CI 0.4305-0.4475) and the number of negative posts to be higher on Twitter (P<.001, 95% CI -0.4289 to -0.4111). These results were consistent with the clinical content analyses results indicating that negative sentiment posts were higher on Twitter (273/577, 47.3%) than Reddit (184/613, 30%). Furthermore, topics prevalent on both platforms by keywords and based on manual post reviews included mentions of youth, marketing or regulation, marijuana, and interest in quitting. CONCLUSIONS: Post content and trending topics overlapped on both Twitter and Reddit during the EVALI period in 2019. However, crucial differences in user type and content keywords were also found, including more frequent mentions of health-related keywords on Twitter and more negative health outcomes from vaping mentioned on both Reddit and Twitter. Use of both computational and clinical content analyses is critical to not only identify signals of public health trends among vaping-related social media content but also to provide context for vaping risks and behaviors. By leveraging the strengths of both Twitter and Reddit as publicly available data sources, this research may provide technical and clinical insights to inform automatic detection of social media users who are vaping and may benefit from digital intervention and proactive outreach strategies on these platforms.

Excessive screen time behaviors and cognitive difficulties among adolescents in the United States: Results from the 2017 and 2019 national youth risk behavior survey.

BACKGROUND: The widespread use of digital media by young people has generated speculations that their excessive use may have deleterious cognitive effects. Previous studies examining the association between screen time and cognitive deficits in youth have yielded mixed conclusions. We study this association using a nationally representative sample of school going adolescents in the United States. METHODS: We queried data from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 17,076 adolescents was analyzed using binary logistic regression. Outcome variable was cognitive difficulties (difficulty in concentrating, remembering, or making decisions), and the explanatory variable was excessive screen-time behaviors. RESULTS: Of the 17,076 adolescents, about one in three (34.1%) had cognitive difficulties, and 45% of adolescents engaged in excessive screen-time behaviors on an average school day. After adjusting for covariates, the odds were 1.28 times higher for adolescents who engaged in excessive screen-time behaviors to report serious cognitive difficulties compared to adolescents who did not engage in excessive screen-time behaviors (AOR = 1.28, p < .001, 95% CI = 1.18-1.40). CONCLUSION: Study results support the association between excessive screen behaviors and cognitive difficulties in adolescence. Findings of this study are discussed with implications for practice and research.

Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification.

There are increasingly strict regulations surrounding the purchase and use of combustible tobacco products (i.e., cigarettes); simultaneously, the use of other tobacco products, including e-cigarettes (i.e., vaping products), has dramatically increased. However, public attitudes toward vaping vary widely, and the health effects of vaping are still largely unknown. As a popular social media, Twitter contains rich information shared by users about their behaviors and experiences, including opinions on vaping. It is very challenging to identify vaping-related tweets to source useful information manually. In the current study, we proposed to develop a detection model to accurately identify vaping-related tweets using machine learning and deep learning methods. Specifically, we applied seven popular machine learning and deep learning algorithms, including Naïve Bayes, Support Vector Machine, Random Forest, XGBoost, Multilayer Perception, Transformer Neural Network, and stacking and voting ensemble models to build our customized classification model. We extracted a set of sample tweets during an outbreak of e-cigarette or vaping-related lung injury (EVALI) in 2019 and created an annotated corpus to train and evaluate these models. After comparing the performance of each model, we found that the stacking ensemble learning achieved the highest performance with an F1-score of 0.97. All models could achieve 0.90 or higher after tuning hyperparameters. The ensemble learning model has the best average performance. Our study findings provide informative guidelines and practical implications for the automated detection of themed social media data for public opinions and health surveillance purposes.

Use of electronic vaping products and mental health among adolescent high school students in the United States: The moderating effect of sex.

Although studies have investigated the association between conventional tobacco smoking and mental health outcomes among adolescents in the United States, few studies have examined the association between electronic vaping products (EVPs) and mental health among adolescents. This study aimed to investigate the cross-sectional association between EVPs use, symptoms of depression, and suicidal behaviors among adolescents. Data were pooled from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 14,285 adolescents (50.3% female) was analyzed using binary logistic regression. The outcome variables investigated were symptoms of depression, suicidal ideation, suicide plan, and suicide attempts, and the main explanatory variable was EVPs use. Of the 14,285 adolescents, 22.2%, 19.2%, and 58.8% were current, former and never users of EVPs, respectively. Controlling for other factors, current users of EVPs were significantly more likely to report having symptoms of depression (AOR = 1.82, 95% CI = 1.58-2.09), having suicidal ideation (AOR = 1.55, 95% CI = 1.30-1.86), making a suicide plan (AOR = 1.62, 95% CI = 1.34-1.97), or attempting suicide (AOR = 1.75, 95% CI = 1.41-2.18) when compared to never users of EVPs. Gender moderated the association between EVPs use, symptoms of depression, suicidal ideation, and suicide plan. Racial minority identity, sexual minority identity, sexual violence victimization, victim of school and cyberbullying, alcohol use, and cigarette smoking were all significantly associated with depression and suicidal behaviors. Study findings support the association between EVPs use and adolescent mental health. Future studies that employ longitudinal designs may offer more insight into the mechanisms underlying this association.

National Trends of Adolescent Exposure to Tobacco Advertisements: 2012-2020.

BACKGROUND AND OBJECTIVES: The objective of the current study is to evaluate the temporal trends in the prevalence of cigarette and electronic cigarette (e-cigarette) advertisement exposure by venue and sociodemographic correlates among US adolescents from 2012 to 2020. METHODS: We conducted a serial cross-sectional analysis of nationally representative samples of middle and high school youth from the 2012-2020 National Youth Tobacco Survey. Advertisement exposure was defined as self-report of seeing advertisements "sometimes," "most of the time," and "always." The prevalence of cigarette (and other tobacco products) and e-cigarette advertisement exposure, including overall and at specific venues (Internet, press, screen, and retail stores), was estimated by survey year. RESULTS: A total of 139 795 adolescents aged 11 to 19 years old were included in the analysis. The prevalence of exposure to combustible cigarette marketing remained high across all years (any venue ranging from 77.0% [2018] to 91.1% [2014]). An increasing trend for cigarette advertisement exposure was observed from 2017 to 2020 after a drop in 2015 (ß2012-2015 = 2.8, P for trend < .001; ß2017-2020 = .7, P for trend = .03), driven by retail store-based and Internet-based exposure. A similar increasing pattern in the estimated prevalence of e-cigarette marketing was observed (ß2014-2016 = 4.6, P for trend < .001; ß2017-2020 = 5.1, P for trend < .001). CONCLUSIONS: Given the high estimated prevalence of cigarette and e-cigarette marketing exposure among US adolescents, further regulation efforts for both off-line and online tobacco marketing are needed to mitigate adolescent exposure to content regarding these products, reducing susceptibility to uptake.

Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit.

INTRODUCTION: Opioid misuse is a public health crisis in the US, and misuse of synthetic opioids such as fentanyl have driven the most recent waves of opioid-related deaths. Because those who misuse fentanyl are often a hidden and high-risk group, innovative methods for identifying individuals at risk for fentanyl misuse are needed. Machine learning has been used in the past to investigate discussions surrounding substance use on Reddit, and this study leverages similar techniques to identify risky content from discussions of fentanyl on this platform. METHODS: A codebook was developed by clinical domain experts with 12 categories indicative of fentanyl misuse risk, and this was used to manually label 391 Reddit posts and comments. Using this data, we built machine learning classification models to identify fentanyl risk. RESULTS: Our machine learning risk model was able to detect posts or comments labeled as risky by our clinical experts with 76% accuracy and 76% sensitivity. Furthermore, we provide a vocabulary of community-specific, colloquial words for fentanyl and its analogues. DISCUSSION: This study uses an interdisciplinary approach leveraging machine learning techniques and clinical domain expertise to automatically detect risky discourse, which may elicit and benefit from timely intervention. Moreover, our vocabulary of online terms for fentanyl and its analogues expands our understanding of online "street" nomenclature for opiates. Through an improved understanding of substance misuse risk factors, these findings allow for identification of risk concepts among those misusing fentanyl to inform outreach and intervention strategies tailored to this at-risk group.

Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak.

INTRODUCTION: Vaping product use (i.e., e-cigarettes) has been rising since 2000 in the United States. Negative health outcomes associated with vaping products have created public uncertainty and debates on social media platforms. This study explores the feasibility of using social media as a surveillance tool to identify relevant posts and at-risk vaping users. METHODS: Using an interdisciplinary method that leverages natural language processing and manual content analysis, we extracted and analyzed 794,620 vaping-related tweets on Twitter. After observing significant increases in vaping-related tweets in July, August, and September 2019, additional human coding was completed on a subset of these tweets to better understand primary themes of vaping-related discussions on Twitter during this time frame. RESULTS: We found significant increases in tweets related to negative health outcomes such as acute lung injury and respiratory issues during the outbreak of e-cigarette/vaping associated lung injury (EVALI) in the fall of 2019. Positive sentiment toward vaping remained high, even across the peak of this outbreak in July, August, and September. Tweets mentioning the public perceptions of youth risk were concerning, as were increases in marketing and marijuana-related tweets during this time. DISCUSSION: The preliminary results of this study suggest the feasibility of using Twitter as a means of surveillance for public health crises, and themes found in this research could aid in specifying those groups or populations at risk on Twitter. As such, we plan to build automatic detection algorithms to identify these unique vaping users to connect them with a digital intervention in the future.

Exploring how tobacco advertisements are associated with tobacco use susceptibility in tobacco naive adolescents from the PATH study.

Adolescents' susceptibility to pro-tobacco marketing advertisements puts them at risk for initiating and continued use of tobacco. The objective of this study was to quantify the cross-sectional association between tobacco ad exposure and tobacco use susceptibility (e.g., curiosity about tobacco products, willingness, and future intention to try tobacco products) among tobacco-naive adolescents. Data came from Wave 4 of the Population Assessment of Tobacco and Health (PATH) study, a nationally-representative sample of US adolescents ages 12-17. We used logistic regression to examine (1) characteristics associated with tobacco ad exposure; (2) associations between tobacco ad exposures (by product type/venue) and tobacco use susceptibility (among tobacco-naive adolescents only). The results suggested that higher household income, living with tobacco user(s), substance use history, and mental health problem(s) were associated with increased odds of tobacco marketing exposure. Among tobacco naïve adolescents (N = 9455), tobacco ads exposure was positively associated with tobacco use susceptibility, compared with the non-exposure group. Seeing cigarettes/other non-ENDS tobacco products only was associated with a 1.64 increase in odds being susceptible to tobacco use; tobacco ads exposure via website and/or social media sites only (cigarette/other non-ENDS tobacco, AOR: 1.87, 95%CI: 1.25-2.81; ENDS, AOR: 2.25, 95%CI: 1.43-3.55) was associated with higher odds of tobacco use susceptibility, compared to the non-exposure group. With rapidly increasing rates of ENDS use in adolescents, it is crucial that advertisements promoting the initiation and continued use of ENDS are strictly regulated, especially among advertisements that are online and on social media sites.