A pilot study of virtual reality for inpatients with opioid use disorder.

BACKGROUND AND OBJECTIVES: While inpatient withdrawal management/acute stabilization can improve outcomes for individuals with opioid use disorder (OUD), patients often leave treatment early due to mood, tension, and cravings associated with opioid withdrawal. The aim of this study was to evaluate the feasibility and preliminary effectiveness of a novel virtual reality (VR) based intervention; 3D Therapy Thrive (3DTT). METHODS: Subjects with OUD (N = 32) were recruited from a community acute stabilization program and received up to two sessions of 3DTT. They completed questionnaires related to their overall satisfaction with the experience and side effects; as well as those related to mood, tension, and cravings. RESULTS: There were no reported side effects and the majority of subjects (94%) reported high satisfaction with the experience. Out of 62 patients approached, 33 patients agreed to participate (53%) 33 patients completed one, and 17 of these patients (52%) completed both sessions of 3DTT, with 19 participants (58%) completing their treatment protocols. Compared to baseline, 3DTT participants reported significant reductions in depression, tension, and cravings (p's < 0.001). DISCUSSION AND CONCLUSIONS: This pilot study supports the feasibility and preliminary effectiveness of 3DTT for improving outcomes for inpatients with OUD. Future randomized controlled trials are necessary to evaluate the efficacy of 3DTT for improving retention, reducing cravings, and improving mood and tension. SCIENTIFIC SIGNIFICANCE: This is the first study to evaluate the feasibility of a psychologically informed VR intervention in inpatients with OUD.

Characterizing Twitter chatter about temporary alcohol abstinence during "Dry January".

With roots as a public health campaign in the United Kingdom, "Dry January" is a temporary alcohol abstinence initiative encouraging participants to abstain from alcohol use during the month of January. Dry January has become a cultural phenomenon, gaining increasing news media attention and social media engagement. Given the utility of capturing naturalistic discussions around health topics on social media, we examined Twitter chatter about Dry January and associated temporary abstinence experiences. Public tweets were collected containing the search terms "dry january" or "dryjanuary" posted between 15 December and 15 February across 3 years (2020-2). A random subsample stratified by year (n = 3145) was pulled for manual content analysis by trained coders. Final codebook accounted for user sentiment toward Dry January, user account type, and themes related to Dry January participation. Engagement metadata (e.g. likes) were also collected. Though user sentiment was mixed, most tweets expressed positive or neutral sentiment toward Dry January (74.7%). Common themes included encouragement and support for Dry January participation (14.1%), experimentation with and promotion of nonalcoholic drinks (14.0%), and benefits derived from Dry January participation (10.4%). While there is promise in the movement to promote positive alcohol-related behavior change, increased efforts to deliver the campaign within a public health context are needed. Health communication campaigns designed to inform participants about evidence-based treatment and recovery support services proven to help people quit or cut down on their drinking are likely to maximize benefits.

Abstinence versus moderation recovery pathways following resolution of a substance use problem: Prevalence, predictors, and relationship to psychosocial well-being in a U.S. national sample.

BACKGROUND: Many people who report resolving an alcohol or other drug (AOD) problem continue some level of substance use. Little information exists, however, regarding the prevalence of this resolution pathway, or how continued substance use after resolving an AOD problem, relative to abstinence, relates to functioning, quality of life, and happiness (i.e., well-being). Greater knowledge of the prevalence and correlates of non-abstinent AOD problem resolution could inform public health messaging and clinical guidelines, while encouraging substance use goals likely to maximize well-being and reduce risks. METHODS: We analyzed data from a nationally representative sample of individuals who endorsed having resolved an AOD problem (N = 2002). Analyses examined: (1) The prevalence of various substance use statuses coded from lowest to highest risk: (a) continuous abstinence from all AOD since problem resolution; (b) current abstinence from all AOD with some use since problem resolution; (c) current use of a substance reported as a secondary substance; (d) current use of the individual's primary substance only; or, (e) current use of a secondary and primary substance; (2) relationships between substance use status and demographic, clinical, and service use history measures; and (3) the relationship between substance use status and well-being. Weighted, controlled, regression analyses examined the influence of independent variables on substance use status. RESULTS: (1) Prevalence: In this sample, 20.3% of patients endorsed continuous abstinence; 33.7% endorsed current abstinence; 21.0% endorsed current use of a secondary substance; 16.2% endorsed current use of a primary substance; and 8.8% endorsed current use of both a secondary and a primary substance. (2) Correlates: Lower-risk substance use status was associated with the initiation of regular substance use at an older age, more years since problem resolution, and fewer lifetime psychiatric diagnoses. (3) Well-Being: Controlling for pertinent confounds, lower-risk substance use status was independently associated with greater self-esteem, happiness, quality of life and functioning, and recovery capital, as well as less psychological distress. CONCLUSIONS: About half of Americans who self-identify as having resolved an AOD problem continue to use AOD in some form. It appears that, although for many abstinence is not necessary to overcome an AOD problem, it is likely to lead to better functioning and greater well-being. Further, people appear to gravitate toward abstinence/lower risk substance use with greater time since problem resolution.

Associations Between Substance Use and Instagram Participation to Inform Social Network-Based Screening Models: Multimodal Cross-Sectional Study.

BACKGROUND: Technology-based computational strategies that leverage social network site (SNS) data to detect substance use are promising screening tools but rely on the presence of sufficient data to detect risk if it is present. A better understanding of the association between substance use and SNS participation may inform the utility of these technology-based screening tools. OBJECTIVE: This paper aims to examine associations between substance use and Instagram posts and to test whether such associations differ as a function of age, gender, and race/ethnicity. METHODS: Participants with an Instagram account were recruited primarily via Clickworker (N=3117). With participant permission and Instagram's approval, participants' Instagram photo posts were downloaded with an application program interface. Participants' past-year substance use was measured with an adapted version of the National Institute on Drug Abuse Quick Screen. At-risk drinking was defined as at least one past-year instance having "had more than a few alcoholic drinks a day," drug use was defined as any use of nonprescription drugs, and prescription drug use was defined as any nonmedical use of prescription medications. We used logistic regression to examine the associations between substance use and any Instagram posts and negative binomial regression to examine the associations between substance use and number of Instagram posts. We examined whether age (18-25, 26-38, 39+ years), gender, and race/ethnicity moderated associations in both logistic and negative binomial models. All differences noted were significant at the .05 level. RESULTS: Compared with no at-risk drinking, any at-risk drinking was associated with both a higher likelihood of any Instagram posts and a higher number of posts, except among Hispanic/Latino individuals, in whom at-risk drinking was associated with a similar number of posts. Compared with no drug use, any drug use was associated with a higher likelihood of any posts but was associated with a similar number of posts. Compared with no prescription drug use, any prescription drug use was associated with a similar likelihood of any posts and was associated with a lower number of posts only among those aged 39 years and older. Of note, main effects showed that being female compared with being male and being Hispanic/Latino compared with being White were significantly associated with both a greater likelihood of any posts and a greater number of posts. CONCLUSIONS: Researchers developing computational substance use risk detection models using Instagram or other SNS data may wish to consider our findings showing that at-risk drinking and drug use were positively associated with Instagram participation, while prescription drug use was negatively associated with Instagram participation for middle- and older-aged adults. As more is learned about SNS behaviors among those who use substances, researchers may be better positioned to successfully design and interpret innovative risk detection approaches.

How Many Recovery Attempts Does it Take to Successfully Resolve an Alcohol or Drug Problem? Estimates and Correlates From a National Study of Recovering U.S. Adults.

BACKGROUND: Alcohol and other drug (AOD) problems are commonly depicted as chronically relapsing, implying multiple recovery attempts are needed prior to remission. Yet, although a robust literature exists on quit attempts in the tobacco field, little is known regarding patterns of cessation attempts related to alcohol, opioid, stimulant, or cannabis problems. Greater knowledge of such estimates and the factors associated with needing fewer or greater attempts may have utility for health policy and clinical communication efforts and approaches. METHODS: Cross-sectional, nationally representative survey of U.S. adults (N = 39,809) who reported resolving a significant AOD problem (n = 2,002) and assessed on number of prior serious recovery attempts, demographic variables, primary substance, clinical histories, and indices of psychological distress and well-being. RESULTS: The statistical distribution of serious recovery attempts was highly skewed with a mean of 5.35 (SD = 13.41) and median of 2 (interquartile range [IQR] = 1 to 4). Black race, prior use of treatment and mutual-help groups, and history of psychiatric comorbidity were associated with higher number of attempts, and more attempts were associated independently with greater current distress. Number of recovery attempts did not differ by primary substance (e.g., opioids vs. alcohol). CONCLUSIONS: Estimates of recovery attempts differed substantially depending on whether the mean (5.35 recovery attempts) or median (2 recovery attempts) was used as the estimator. Implications of this are that the average may be substantially lower than anticipated because cultural expectations are often based on AOD problems being "chronically relapsing" disorders implicating seemingly endless tries. Depending on which one of these estimates is reported in policy documents or communicated in public health announcements or clinical settings, each may elicit varying degrees of help-seeking, hope, motivation, and the use of more assertive clinical approaches. The more fitting, median estimate of attempts should be used in clinical and policy communications given the distribution.

Risk Factors for Overdose in Young People Who Received Substance Use Disorder Treatment.

BACKGROUND AND OBJECTIVES: To identify substance and psychiatric predictors of overdose (OD) in young people with substance use disorders (SUDs) who received treatment. METHODS: We conducted a retrospective review of consecutive medical records of young people who were evaluated in a SUD program between 2012 and 2013 and received treatment. An independent group of patients from the same program who received treatment and had a fatal OD were also included in the sample. OD was defined as substance use associated with a significant impairment in level of consciousness without intention of self-harm, or an ingestion of a substance that was reported as a suicide attempt. t Tests, Pearson's χ2 , and Fisher's exact tests were performed to identify predictors of OD after receiving treatment. RESULTS: After initial evaluation, 127 out of 200 patients followed up for treatment and were included in the sample. Ten (8%) of these patients had a nonfatal OD. Nine patients who received treatment and had a fatal OD were also identified. The sample's mean age was 20.2 ± 2.8 years. Compared with those without OD, those with OD were more likely to have a history of intravenous drug use (odds ratio [OR]: 36.5, P < .001) and mood disorder not otherwise specified (OR: 4.51, P = .01). DISCUSSION AND CONCLUSIONS: Intravenous drug use and mood dysregulation increased risk for OD in young people who received SUD treatment. SCIENTIFIC SIGNIFICANCE: It is important to identify clinically relevant risk factors for OD specific to young people in SUD treatment due to the risk for death associated with OD. (Am J Addict 2019;28:382-389).

Using the text-messaging program SmokefreeTXT to support smoking cessation for nondaily smokers.

INTRODUCTION: Smoking cessation interventions for nondaily smokers are needed. The current study explores the fit of the text-messaging intervention SmokefreeTXT for nondaily smokers. METHODS: Adult nondaily smokers (N = 32; mean age = 35 ± 12, 64% female, 53% non-Hispanic White) were enrolled in SmokefreeTXT. SmokefreeTXT usage data were recorded passively, theorized mechanisms of change were assessed at baseline and 2, 6, and 12 weeks after the chosen quit day, and EMA protocols captured real-time cigarette reports at baseline, and during the first two weeks after the quit day. RESULTS: Most participants completed the SmokefreeTXT program and responded to system-initiated inquiries, but just-in-time interaction with the program was limited. In retrospective recall at treatment end, content of the text-messages was rated as "neutral" to "helpful." Within-person change was observed in theorized mechanisms, with less craving (p < 0.01), increased abstinence self-efficacy (external: p < 0.01; internal: p < 0.01), and poorer perceptions of pros of smoking (psychoactive benefits: p < 0.01, pleasure p < 0.01; and pros: p < 0.01) reported after SmokefreeTXT initiation compared to baseline. Exploratory analyses of real-time reports of smoking (225 cigarette reports in N = 17 who relapsed) indicated that cigarettes smoked in the first two weeks after quitting were more likely to occur to reduce craving (OR = 2.21[1.21-3.72]), and less likely to occur to socialize (OR = 0.06[0.01-0.24]), between 19:00 and 23:00 (OR = 0.34[0.17-0.66]), and on Saturdays (OR = 0.59[0.35-0.99]) than prior to quitting. CONCLUSIONS: While well accepted by nondaily smokers, SmokefreeTXT could potentially be improved by targeting cons of smoking, enhancing engagement with the just-in-time component of SmokefreeTXT, and tweaking the timing of text-messages.

Beyond Abstinence: Changes in Indices of Quality of Life with Time in Recovery in a Nationally Representative Sample of U.S. Adults.

BACKGROUND: Alcohol and other drug (AOD) treatment and recovery research typically have focused narrowly on changes in alcohol/drug use (e.g., "percent days abstinent") with little attention on changes in functioning or well-being. Furthermore, little is known about whether and when such changes may occur, and for whom, as people progress in recovery. Greater knowledge would improve understanding of recovery milestones and points of vulnerability and growth. METHODS: National, probability-based, cross-sectional sample of U.S. adults who screened positive to the question, "Did you used to have a problem with alcohol or drugs but no longer do?" (Response = 63.4% from 39,809; final weighted sample n = 2,002). Linear, spline, and quadratic regressions tested relationships between time in recovery and 5 measures of well-being: quality of life, happiness, self-esteem, recovery capital, and psychological distress, over 2 temporal horizons: the first 40 years and the first 5 years, after resolving an AOD problem and tested moderators (sex, race, primary substance) of effects. Locally Weighted Scatterplot Smoothing regression was used to explore turning points. RESULTS: In general, in the 40-year horizon there were initially steep increases in indices of well-being (and steep drops in distress), during the first 6 years, followed by shallower increases. In the 5-year horizon, significant drops in self-esteem and happiness were observed initially during the first year followed by increases. Moderator analyses examining primary substance found that compared to alcohol and cannabis, those with opioid or other drugs (e.g., stimulants) had substantially lower recovery capital in the early years; mixed race/native Americans tended to exhibit poorer well-being compared to White people; and women consistently reported lower indices of well-being over time than men. CONCLUSIONS: Recovery from AOD problems is associated with dynamic monotonic improvements in indices of well-being with the exception of the first year where self-esteem and happiness initially decrease, before improving. In early recovery, women, certain racial/ethnic groups, and those suffering from opioid and stimulant-related problems appear to face ongoing challenges that suggest a need for greater assistance.

How Smart are Smartphone Apps for Smoking Cessation? A Content Analysis.

INTRODUCTION: Smartphone technology is ideally suited to provide tailored smoking cessation support, yet it is unclear to what extent currently existing smartphone "apps" use tailoring, and if tailoring is related to app popularity and user-rated quality. METHODS: We conducted a content analysis of Android smoking cessation apps (n = 225), downloaded between October 1, 2013 to May 31, 2014. We recorded app popularity (>10,000 downloads) and user-rated quality (number of stars) from Google Play, and coded the existence of tailoring features in the apps within the context of using the 5As ("ask," "advise," "assess," "assist," and "arrange follow-up"), as recommended by national clinical practice guidelines. RESULTS: Apps largely provided simplistic tools (eg, calculators, trackers), and used tailoring sparingly: on average, apps addressed 2.1 ± 0.9 of the 5As and used tailoring for 0.7 ± 0.9 of the 5As. Tailoring was positively related to app popularity and user-rated quality: apps that used two-way interactions (odds ratio [OR] = 5.56 [2.45-12.62]), proactive alerts (OR = 3.80 [1.54-9.38]), responsiveness to quit status (OR = 5.28 [2.18-12.79]), addressed more of the 5As (OR = 1.53 [1.10-2.14]), used tailoring for more As (OR = 1.67 [1.21-2.30]), and/or used more ways of tailoring 5As content (OR = 1.35 [1.13-1.62]) were more likely to be frequently downloaded. Higher star ratings were associated with a higher number of 5As addressed (b = 0.16 [0.03-0.30]), a higher number of 5As with any level of tailoring (b = 0.14 [0.01-0.27]), and a higher number of ways of tailoring 5As content (b = 0.08 [0.002-0.15]). CONCLUSIONS: Publically available smartphone smoking cessation apps are not particularly "smart": they commonly fall short of providing tailored feedback, despite users' preference for these features.

Psychiatric comorbidity and 12-step participation: a longitudinal investigation of treated young adults.

BACKGROUND: Evidence indicates that 12-step mutual-help organizations (MHOs), such as Alcoholics Anonymous (AA) and Narcotics Anonymous (NA), can play an important role in extending and potentiating the recovery benefits of professionally delivered addiction treatment among young adults with substance use disorders (SUD). However, concerns have lingered regarding the suitability of 12-step organizations for certain clinical subgroups, such as those with dual diagnosis (DD). This study examined the influence of diagnostic status (DD vs. SUD-only) on both attendance and active involvement (e.g., having a sponsor, verbal participation during meetings) in, and derived benefits from, 12-step MHOs following residential treatment. METHODS: Young adults (N = 296; 18 to 24 years old; 26% female; 95% Caucasian; 47% DD [based on structured diagnostic interview]), enrolled in a prospective naturalistic study of SUD treatment effectiveness, were assessed at intake and 3, 6, and 12 months posttreatment on 12-step attendance/active involvement and percent days abstinent (PDA). t-Tests and lagged, hierarchical linear models (HLM) examined the extent to which diagnostic status influenced 12-step participation and any derived benefits, respectively. RESULTS: For DD and SUD-only patients, posttreatment attendance and active involvement in 12-step organizations were similarly high. Overall, DD patients had significantly lower PDA relative to SUD-only patients. All patients appeared to benefit significantly from attendance and active involvement on a combined 8-item index. Regarding the primary effects of interest, significant differences did not emerge in derived benefit between DD and SUD-only patients for either attendance (p = 0.436) or active involvement (p = 0.062). Subsidiary analyses showed, however, that DD patients experienced significantly greater abstinence-related benefit from having a 12-step sponsor. CONCLUSIONS: Despite concerns regarding the clinical utility of 12-step MHOs for DD patients, findings indicate that DD young adults participate and benefit as much as SUD-only patients, and may benefit more from high levels of active involvement, particularly having a 12-step sponsor. Future work is needed to clarify how active 12-step involvement might offset the additional recovery burden of a comorbid mental illness on substance use outcomes.

Do Drug-Dependent Patients Attending Alcoholics Anonymous Rather than Narcotics Anonymous Do As Well? A Prospective, Lagged, Matching Analysis.

AIMS: Alcoholics Anonymous (AA) is the most prevalent 12-step mutual-help organization (MHO), yet debate has persisted clinically regarding whether patients whose primary substance is not alcohol should be referred to AA. Narcotics Anonymous (NA) was created as a more specific fit to enhance recovery from drug addiction; however, compared with AA, NA meetings are not as ubiquitous. Little is known about the effects of a mismatch between individuals' primary substance and MHOs, and whether any incongruence might result in a lower likelihood of continuation and benefit. More research would inform clinical recommendations. METHOD: Young adults (N = 279, M age 20.4, SD 1.6, 27% female; 95% White) in a treatment effectiveness study completed assessments at intake, and 3, 6, and 12 months post-treatment. A matching variable was created for 'primary drug' patients (i.e. those reporting cannabis, opiates or stimulants as primary substance; n = 198/279), reflecting the proportion of total 12-step meetings attended that were AA. Hierarchical linear models (HLMs) tested this variable's effects on future 12-step participation and percent days abstinent (PDA). RESULTS: The majority of meetings attended by both alcohol and drug patients was AA. Drug patients attending proportionately more AA than NA meetings (i.e. mismatched) were no different than those who were better matched to NA with respect to future 12-step participation or PDA. CONCLUSION: Drug patients may be at no greater risk of discontinuation or diminished recovery benefit from participation in AA relative to NA. Findings may boost clinical confidence in making AA referrals for drug patients when NA is less available.

Prevalence and correlates of 12-step and second-wave mutual-help attendance in a nationally representative US sample.

BACKGROUND: Mutual-help organizations (MHOs) are effective community-based, recovery support options for individuals with alcohol and other drug use disorders (i.e., substance use disorder; SUD). Greater understanding of second-wave MHOs, such as SMART Recovery, can help build on existing research that has focused primarily on 12-step MHOs, such as Alcoholics Anonymous, to inform scientific, practice, and policy recommendations. METHODS: We conducted a secondary analysis of the National Recovery Study, a representative sample of US adults who resolved a substance use problem (N = 1984). Using survey-weighted estimates, we examined descriptive statistics for any lifetime, weekly lifetime, and past 90-day MHO attendance; we compared rates of 12-step and second-wave MHO attendance over time by descriptively examining distributions for calendar year of the first meeting attended. We also used two logistic regression models to examine demographic, substance use, clinical, and recovery-related correlates of weekly lifetime attendance separately for 12-step (n = 692) and second-wave MHOs (n = 32). RESULTS: For any attendance, 41.4% attended a 12-step MHO and 2.9% a second-wave MHO; for weekly attendance, 31.9% attended a 12-step MHO, and 1.7% a second-wave MHO. Two-thirds (64%) of initial second-wave attendance occurred between 2006 and 2017 compared to 22% of initial 12-step attendance during this time frame. Significant correlates of weekly 12-step MHO attendance included histories of SUD treatment and arrest. Significant correlates of weekly second-wave MHO attendance included Black identity (vs. White) and history of SUD medication. CONCLUSIONS: Attendance at second-wave MHOs is far less common than 12-step MHOs, but appears to be on the rise. Observed correlates of second-wave MHO attendance should be replicated in larger second-wave MHO samples before integrating these findings into best practices. Enhanced linkages from clinical and criminal justice settings to both second-wave and 12-step groups may help to "broaden the base" of MHOs.

ChatGPT-4: Alcohol use disorder responses.

BACKGROUND AND AIMS: Alcohol use disorder (AUD) is characterized by low levels of engagement with effective treatments. Enhancing awareness of AUD treatments and how to navigate the treatment system is crucial. Many individuals use online sources (e.g. search engines) for answers to health-related questions; web-based results include a mix of high- and low-quality information. Artificial intelligence may improve access to quality health information by providing concise, high-quality responses to complex health-related questions. This study evaluated the quality of ChatGPT-4 responses to AUD-related queries. METHOD: A comprehensive list of 64 AUD-related questions was developed through a combination of Google Trends analysis and expert consultation. ChatGPT-4 was prompted with each question, followed by a request to provide 3-5 peer-reviewed scientific citations supporting each response. Responses were evaluated for whether they were evidence-based, provided a referral and provided supporting documentation. RESULTS: ChatGPT-4 responded to all AUD-related queries, with 92.2% (59/64) of responses being fully evidence-based. Although only 12.5% (8/64) of responses included referrals to external resources, all responses (100%; 5/5) to location-specific ('near me') queries directed individuals to appropriate resources like the NIAAA Treatment Navigator. Most (85.9%; 55/64) responses to the follow-up question provided supporting documentation. CONCLUSIONS: ChatGPT-4 responds to alcohol use disorder-related questions with evidence-based information and supporting documentation. ChatGPT-4 could be promoted as a reasonable resource for those looking online for alcohol use disorder-related information.

Disparities in Alcoholics Anonymous Participation from 2000 to 2020 Among U.S. Residents With an Alcohol Use Disorder in the National Alcohol Survey.

OBJECTIVE: Mutual-help groups (MHGs) like Alcoholics Anonymous (AA) are effective for resolving alcohol use disorders (AUDs), but few studies have examined disparities in MHG participation, particularly recently. We used five waves of National Alcohol Survey data to investigate whether prevalence of AA attendance among those with a lifetime AUD differed by race/ethnicity, age, and sex, directly testing whether these associations varied with time. METHOD: Analyses pooled weighted data from 2000 to 2020, including only participants with a lifetime AUD and identifying as non-Hispanic White, Latinx/Hispanic, or non-Hispanic Black/African American (N = 8,876). Logistic regression models examined associations between lifetime AA attendance and survey year, race/ethnicity, age, and sex; models also tested for differences in demographic effects across survey year using interaction terms. RESULTS: In bivariate models, AA attendance was significantly less prevalent among participants identifying as Latinx/Hispanic (vs. White); ages 18-29 (vs. 30-64); and female (vs. male). Survey year was unrelated to AA attendance, and all interactions involving survey year were nonsignificant. In the final multivariate model (which controlled for severity and other help-seeking), disparities persisted for those identifying as Latinx/Hispanic (vs. White; adjusted odds ratio [aOR] = 0.63) and ages 18-29 (vs. 30-64; aOR = 0.35); AA attendance was also less prevalent among Black/African American (vs. White) participants (aOR = 0.59), but sex became nonsignificant. CONCLUSIONS: Results replicate and extend sparse findings regarding disparities in MHG attendance and suggest a stagnation in AA's growth and reach to underserved populations. Findings highlight the need to more effectively facilitate MHG attendance (and perhaps broader social network change) among racial/ethnic minorities and emerging adults.

Characteristics and engagement among English-language online forums for addiction recovery available in the US.

In developing public resources for the Networks Enhancing Addiction Recovery - Forum Activity Roadmap (NEAR-FAR), we completed a systematic observational study of English-language online forums related to recovery from alcohol or other drug addiction in late 2021. Among 207 identified forums, the majority were classified as "general addiction" or alcohol-focused, though classifications related to other substances were common on websites hosting multiple forums. Commonly used social media platforms such as Reddit, Facebook, or Quora offered easily accessible venues for individuals seeking online support related to a variety of substances. Forums were related to established recovery programs such as 12-step and SMART Recovery as well as other nonprofit and for-profit recovery programs, and to community forums without formal recovery programming. Among 148 forums with any observed user activity, the median time between unique user engagements was 27 days (inter-quartile range: 2-74). Among 98 forums with past-month posting activity, we found a median of <10 posts per week (inter-quartile range: 1-78). This study compares three metrics of observed forum activity (posts per week, responses per post, time between unique user engagements) and operationalizes forum characteristics that may potentiate opportunities for enhanced engagement and social support in addiction recovery.

From alcohol and other drug treatment mediator to mechanism to implementation: A systematic review and the cases of self-efficacy, social support, and craving.

Research designed to establish alcohol and other drug (AOD) mechanisms of behavioral change (MOBC) has centered on what variables mediate the relation between AOD treatment and outcomes. The purpose of this paper was to review this research evidence to identify empirically supported mediators of alcohol and other drug use and related outcomes and then to evaluate their potential as being AOD treatment MOBC. The first phase was a systematic review of reviews (2008-2023) to identify the variables with the strongest empirical support as mediators of AOD treatment effects. Eligible reviews focused on AOD treatment modalities, included empirically tested mediators, and targeted adult samples. The second phase was a systematic review of empirical studies (1990-2023) testing the hypothesis that variables identified in phase one were AOD treatment mediators/mechanisms and then evaluating each eligible stage two study according to the Kazdin and Nock (Journal of Child Psychology and Psychiatry, 44, 1116) criteria. Eligible articles included empirical studies with adult samples attending AOD treatment and empirically tested one of the three treatment mechanisms as a mediator of an AOD-related outcome. Databases were searched in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. This systematic review was not preregistered. The first review of 11 eligible review articles identified self-efficacy, social support, and craving as having the strongest empirical support. The second review captured 48 individual studies. An evaluation of each of these studies by the Kazdin and Nock criteria suggested that they likely are MOBC and therefore are ready for implementation. The implementation of self-efficacy, social support, and craving into clinical practice and training is warranted. Six directions for future research to solidify and generalize empirical support for the case that self-efficacy, social support, and craving are MOBC are presented, as are five implications for clinical practice and training.

A Nationwide Survey Study of Recovery Community Centers Supporting People in Recovery From Substance Use Disorder.

OBJECTIVE: The medical community has become aware of its role in contributing to the opioid epidemic and must be part of its resolution. Recovery community centers (RCCs) represent a new underused component of recovery support. METHODS: This study performed an online national survey of all RCCs identified in the United States, and used US Census ZIP code tabulation area data to describe the communities they serve. RESULTS: Residents of areas with RCCs were more likely to be Black (16.5% vs 12.6% nationally, P = 0.005) and less likely to be Asian (4.7% vs 5.7%, P = 0.005), American Indian, or Alaskan Native (0.6% vs 0.8%, P = 0.03), or live rurally (8.5% vs 14.0%, P < 0.0001). More than half of RCCs began operations within the past 5 years. Recovery community centers were operated, on average, by 8.8 paid and 10.2 volunteer staff; each RCC served a median of 125 individuals per month (4-1,500). Recovery community centers successfully engaged racial/ethnic minority groups (20.8% Hispanic, 22.5% Black) and young adults (23.5% younger than 25 years). Recovery community centers provide addiction-specific support (eg, mutual help, recovery coaching) and assistance with basic needs, social services, technology access, and health behaviors. Regarding medications for opioid use disorder (MOUDs), RCC staff engaged members in conversations about MOUDs (85.2%) and provided direct support for taking MOUD (77.0%). One third (36.1%) of RCCs reported seeking closer collaboration with prescribers. CONCLUSIONS: Recovery community centers are welcoming environments for people who take MOUDs. Closer collaboration between the medical community and community-based peer-led RCCs may lead to significantly improved reach of efforts to end the opioid epidemic.

Recovery among sexual minorities in the united states population: Prevalence, characteristics, quality of life and functioning compared with heterosexual majority.

BACKGROUND: Lesbian, gay, and bisexual individuals ("sexual minorities" [SMs]) are overrepresented among individuals suffering from alcohol and other drug (AOD) problems. However, little is known regarding differences, particularly in functioning and well-being, between SMs and heterosexuals in recovery from AOD problems. METHOD: Cross-sectional, nationally representative sample of US adults who resolved an AOD problem (N = 2002; National Recovery Study [Kelly et al., 2017]). Univariate analyses tested for differences between SMs and heterosexuals on socio-demographic, AOD use/treatment and clinical/legal factors. Unadjusted regressions tested for group differences on indices of current functioning and well-being. Multivariable regressions investigated factors that differentiated groups to understand which might explain any observed group disparities in functioning and well-being. LOWESS analyses explored differences across time in recovery on functioning/well-being. RESULTS: Prevalence of SMs in the US recovery population was 11.7% (n = 220). Compared with heterosexuals (88.3%, n = 1666), SMs had shorter time in recovery (OR=0.97; 95% CI: 0.96, 0.99); were less likely to be employed (OR=0.64; 95% CI: 0.43, 0.96); and more likely to have a co-occurring psychiatric disorder (OR=2.24; 95% CI: 1.49, 3.37), an arrest history (OR=1.61; 95% CI: 1.08, 2.39), and report opioids as primary substance (OR=2.50; 95% CI: 1.18, 5.28). Unadjusted models showed, compared to heterosexuals, SMs had significantly worse levels on all functioning and well-being outcomes. Adjusted models explained most differences, except for psychological distress. CONCLUSION: SMs evince more problematic clinical/legal histories and face greater psychosocial challenges in recovery. Research is needed to understand the unique experiences of recovering SMs in order to better address observed functioning and well-being disparities.

Associations between heavy drinker's alcohol-related social media exposures and personal beliefs and attitudes regarding alcohol treatment.

Objective: Social media use among American adults is ubiquitous. Alcohol-related social media posts often glamorize heavy drinking, with increased exposure to such content associated with greater alcohol use. Comparatively less is known, however, about how social media promotes alcohol-related health behavior change. Greater scientific knowledge in this area may enhance our understanding of the relationship between social media and alcohol behaviors, helping to inform clinical and public health recommendations. We examined the relationship between exposure to peer alcohol-related social media posts (pro-drinking, negative consequences, and pro-treatment/recovery) and treatment-seeking intentions among heavy drinkers, as well as potential mediators of the relationship (e.g., attitudes toward treatment effectiveness). Method: Hazardous drinking adults (aged 18-55 years) who use social media (N = 499) completed an online questionnaire. Linear regression analysis examined the association between alcohol-related social media exposures and treatment-seeking intentions. Mediation was tested using structural equation modelling. Results: Exposure to peer pro-drinking posts was negatively associated with intentions to seek treatment (ß = -0.67, p < 0.01), whereas exposures to peer alcohol-related negative consequences posts and peer posts about positive experiences with treatment/recovery were positively associated with treatment-seeking intentions (ß = 0.69, p < 0.01; ß = 1.23, p < 0.001, respectively). Mediation analysis concluded the effect of exposures on intentions was explained partially by attitudes toward treatment effectiveness (25.5%) and alcohol treatment stigma (6.1%). Conclusions: Findings suggest peers' alcohol-related social media posts may both promote and hinder health behavior change depending on the nature of the post. Future research that develops and tests social media-delivered interventions to promote treatment and recovery seeking is warranted.

Online digital recovery support services: An overview of the science and their potential to help individuals with substance use disorder during COVID-19 and beyond.

BACKGROUND: The COVID-19 pandemic and related social distancing public health recommendations will have indirect consequences for individuals with current and remitted substance use disorder (SUD). Not only will stressors increase risk for symptom exacerbation and/or relapse, but individuals will also have limited service access during this critical time. Individuals with SUD are using free, online digital recovery support services (D-RSS) that leverage peer-to-peer connection (i.e., social-online D-RSS) which simultaneously help these individuals to access support and adhere to public health guidelines. Barriers to SUD treatment and recovery support service access, however, are not unique to the COVID-19 epoch. The pandemic creates an opportunity to highlight problems that will persist beyond its immediate effects, and to offer potential solutions that might help address these long-standing, systemic issues. To help providers and other key stakeholders effectively support those interested in, or who might benefit from, participation in free, social-online D-RSS, this review outlines the following: 1) theories of expected therapeutic benefits from, and potential drawbacks of social-online D-RSS participation; 2) a typology that can be used to describe and classify D-RSS; 3) a D-RSS "case study" to illustrate how to apply the theory and typology; 4) what is known empirically about social-online D-RSS; and 5) whether and how to engage individuals with these online resources. METHOD: Narrative review combining research and theory on both in-person recovery supports and social-online D-RSS. RESULTS: Studies examining in-person recovery support services, such as AA and other mutual-help organizations, combined with theory about how social-online D-RSS might confer benefit, suggest these digital supports may engage individuals with SUD and mobilize salutary change in similar ways. While people may use in-person and digital supports simultaneously, when comparing the two modalities, communication science and telemedicine group therapy data suggest that D-RSS may not provide the same magnitude of benefit as in-person services. D-RSS can be classified based on the a) type of service, b) type of platform, c) points of access, and d) organizations responsible for their delivery. Research has not yet rigorously tested the effectiveness of social-online D-RSS specifically, though existing data suggest that those who use these services generally find their participation to be helpful. Content analyses suggest that these services are likely to facilitate social support and unlikely to expose individuals to harmful situations. CONCLUSIONS: When in-person treatment and recovery support services are limited, as is the case during the COVID-19 pandemic, expected therapeutic benefits and emerging data, taken together, suggest providers, mentors, and other community leaders may wish to refer individuals with current and remitted SUD to free, social-online D-RSS. Given the array of available services in the absence of best practice guidelines, we recommend that when making D-RSS referrals, stakeholders familiarize themselves with theorized benefits and drawbacks of participation, use a typology to describe and classify services, and integrate current empirical knowledge, while relying on trusted federal, academic, and national practice organization resource lists.