Text Messages Exchanged Between Individuals With Opioid Use Disorder and Their mHealth e-Coaches: Content Analysis Study.

BACKGROUND: Opioid use disorder (OUD) has affected 2.2 million people in the United States. About 7.2 million people reported using illicit drugs in 2019, which contributed to over 70,000 overdose deaths. SMS text messaging interventions have been shown to be effective in OUD recovery. However, the interpersonal communication between individuals in OUD treatment and a support team on digital platforms has not been well examined. OBJECTIVE: This study aims to understand the communication between participants undergoing OUD recovery and their e-coaches by examining the SMS text messages exchanged from the lens of social support and the issues related to OUD treatment. METHODS: A content analysis of messages exchanged between individuals recovering from OUD and members of a support team was conducted. Participants were enrolled in a mobile health intervention titled "uMAT-R," a primary feature of which is the ability for patients to instantly connect with a recovery support staff or an "e-coach" via in-app messaging. Our team analyzed dyadic text-based messages of over 12 months. In total, 70 participants' messages and 1196 unique messages were analyzed using a social support framework and OUD recovery topics. RESULTS: Out of 70 participants, 44 (63%) were between the ages of 31 and 50 years, 47 (67%) were female, 41 (59%) were Caucasian, and 42 (60%) reported living in unstable housing conditions. An average of 17 (SD 16.05) messages were exchanged between each participant and their e-coach. Out of 1196 messages, 64% (n=766) messages were sent by e-coaches and 36% (n=430) by participants. Messages of emotional support occurred the most, with 196 occurrences (n=9, 0.8%) and e-coaches (n=187, 15.6%). Messages of material support had 110 occurrences (participants: n=8, 0.7%; e-coaches: n=102, 8.5%). With OUD recovery topics, opioid use risk factors appeared in most (n=72) occurrences (patient: n=66, 5.5%; e-coach: n=6, 0.5%), followed by a message of avoidance of drug use 3.9% (n=47), which occurred mainly from participants. Depression was correlated with messages of social support (r=0.27; P=.02). CONCLUSIONS: Individuals with OUD who had mobile health needs tended to engage in instant messaging with the recovery support staff. Participants who are engaged in messaging often engage in conversations around risk factors and avoidance of drug use. Instant messaging services can be instrumental in providing the social and educational support needs of individuals recovering from OUD.

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.

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.

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.

Parental consent: A potential barrier for underage teens' participation in an mHealth mental health intervention.

PURPOSE: We sought to examine whether underage adolescents displaying symptoms for a mental illness (i.e., an eating disorder) would be willing to obtain parental consent to participate in a study to test the efficacy of an evidence-based mobile mental health intervention targeting teens with eating disorders. METHODS: The participants (n = 366) were 15 to 17 year-old English-speakers who post or follow social media accounts on Instagram that emphasize being thin as important or attractive. The participants were administered a survey through Qualtrics to assess eating disorder pathology, interest in trying an evidence-based mobile mental-health intervention, and comfort level with obtaining parental consent to partake in a research study about such an intervention. RESULTS: About 85% of participants met clinical or subclinical criteria for an eating disorder; however, only 12% had received a treatment within the past six months. While 83% of participants were interested in trying a mobile health interventions app, only 35% indicated willingness to obtain parental consent to participate in a research study. The primary reasons presented for unwillingness to obtain consent included importance of retaining privacy and feeling that parents lack awareness or understanding about mental health issues. CONCLUSIONS: While barriers exist to obtaining treatment for eating disorders, a mobile intervention app may close some of these gaps. Many underage participants indicated interest in obtaining such treatment, yet only a third were willing to obtain parental consent. Future studies should investigate how to reduce these barriers to obtaining parental consent to facilitate teen access to research and mobile mental health treatment.