Identifying Adolescent Vaping With Screening to Brief Intervention and Brief Screener for Tobacco, Alcohol, and Drugs Screening Tools.

PURPOSE: This study aimed to determine whether the modified Screening to Brief Intervention (S2BI) and Brief Screener for Tobacco, Alcohol, and Drugs (BSTAD) that included e-cigarettes/vaping as examples could identify all nicotine and cannabis use or whether additional questions specifically about vaping are needed. METHODS: Between July 2020 and February 2022, adolescents recruited from primary care or an outpatient adolescent substance use disorder program were randomized to complete S2BI or BSTAD followed by specific questions about vaping. Screen questions were updated to include "vaping" in the parenthetical examples of nicotine and cannabis use. RESULTS: Data from 502 adolescent participants who completed both the S2BI or BSTAD and vaping questions were analyzed. The S2BI and BSTAD identified 92% (23/25) and 100% (16/16) of nicotine vaping and 100% (16/16) and 95.5% (21/22) of cannabis vaping, respectively. DISCUSSION: The S2BI and BSTAD tools accurately identify nicotine and cannabis use without specific questions about vaping.

Engagement, initiation, and retention in medication treatment for opioid use disorder among young adults: A narrative review of challenges and opportunities.

INTRODUCTION: Opioid Use Disorder (OUD) is a catastrophic public health problem for young adults (YAs) and their families. While medication for OUD (MOUD) is safe, effective, and recognized as the standard of care, its' uptake and success have been limited in YAs compared to older adults. METHODS: This narrative review summarizes the existing literature and highlights select studies regarding barriers to YA MOUD, potential explanations for those barriers, and strategies to overcome them. RESULTS: Barriers are prominent along the entire cascade of care, including: treatment engagement and entry, MOUD initiation, and MOUD retention. Hypothesized explanations for barriers include: developmental vulnerability, inadequate treatment system capacity, stigma against MOUD, among others. Interventions to address barriers include: promotion of family involvement, increasing provider capacity, integration of MOUD into primary care, assertive outreach, and others. CONCLUSIONS: Integrating an adapted version of family coaching from the Community Reinforcement Approach and Family Training (CRAFT) and other models into YA MOUD treatment serves as an example of an emerging novel practice that holds promise for broadening the funnel of engagement in treatment and initiation of MOUD, and enhancing treatment outcomes. This and other developmentally-informed approaches should be evaluated as part of a high-priority clinical and research agenda for improving OUD treatment for YAs.

Comparing the Performance of World Mental Health Composite International Diagnostic Interview Substance Abuse Module in Adolescents to Diagnoses Made by Pediatric Addiction Medicine Specialists.

OBJECTIVES: The World Mental Health Composite International Diagnostic Interview Substance Abuse Module (WMH-CIDI-SAM) is commonly used as a criterion standard measure for substance use disorder (SUD) diagnoses, although the accuracy of this tool when used with adolescents is unknown. The objective of this study was to evaluate the agreement between SUD diagnoses for adolescents made by WMH-CIDI-SAM and those made by specialists based on Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) ( DSM-5 ) SUD criteria during an SUD evaluation. METHODS: Adolescents aged 12 to 17 years presenting to an outpatient SUD program for youth were administered the WMH-CIDI-SAM by a trained research assistant, and results were compared with diagnoses made by experienced clinicians based on DSM-5 SUD criteria during an initial SUD evaluation. Chance-corrected concordance was estimated using the κ coefficient for the comparisons. RESULTS: The level of concordance between the WMH-CIDI-SAM interview and the clinician diagnosis based on DSM-5 SUD criteria were fair to moderate for alcohol use disorder and tobacco use disorder and poor for cannabis use disorder. Three of 11 WMH-CIDI-SAM item constructs showed poor concordance with clinician diagnosis. CONCLUSIONS: Interpreting the diagnostic criteria for SUDs, particularly cannabis use disorders, is nuanced, and the meaning of the criteria may be misunderstood by adolescents. Further evaluation of the performance of the WMH-CIDI-SAM diagnostic interview for identifying cannabis use disorders in adolescents is needed.

Subthreshold opioid use disorder prevention (STOP) trial: a cluster randomized clinical trial: study design and methods.

BACKGROUND: Preventing progression to moderate or severe opioid use disorder (OUD) among people who exhibit risky opioid use behavior that does not meet criteria for treatment with opioid agonists or antagonists (subthreshold OUD) is poorly understood. The Subthreshold Opioid Use Disorder Prevention (STOP) Trial is designed to study the efficacy of a collaborative care intervention to reduce risky opioid use and to prevent progression to moderate or severe OUD in adult primary care patients with subthreshold OUD. METHODS: The STOP trial is a cluster randomized controlled trial, randomized at the PCP level, conducted in 5 distinct geographic sites. STOP tests the efficacy of the STOP intervention in comparison to enhanced usual care (EUC) in adult primary care patients with risky opioid use that does not meet criteria for moderate-severe OUD. The STOP intervention consists of (1) a practice-embedded nurse care manager (NCM) who provides patient participant education and supports primary care providers (PCPs) in engaging and monitoring patient-participants; (2) brief advice, delivered to patient participants by their PCP and/or prerecorded video message, about health risks of opioid misuse; and (3) up to 6 sessions of telephone health coaching to motivate and support behavior change. EUC consists of primary care treatment as usual, plus printed overdose prevention educational materials and an educational video on cancer screening. The primary outcome measure is self-reported number of days of risky (illicit or nonmedical) opioid use over 180 days, assessed monthly via text message using items from the Addiction Severity Index and the Current Opioid Misuse Measure. Secondary outcomes assess other substance use, mental health, quality of life, and healthcare utilization as well as PCP prescribing and monitoring behaviors. A mixed effects negative binomial model with a log link will be fit to estimate the difference in means between treatment and control groups using an intent-to-treat population. DISCUSSION: Given a growing interest in interventions for the management of patients with risky opioid use, and the need for primary care-based interventions, this study potentially offers a blueprint for a feasible and effective approach to improving outcomes in this population. TRIAL REGISTRATION: Clinicaltrials.gov, identifier NCT04218201, January 6, 2020.

Navigating post COVID-19 education: an investigative study on students' attitude and perception of their new normal learning environment.

Background: The incidence and aftermath of the COVID-19 pandemic brought about a drastic change in health professional education around the world. Traditional classrooms made way for online classrooms in order to ensure that learning continued in a safe and secure environment. However, how well health professional students perceived and accepted these changes have not been fully gauged yet. Therefore, this study aims to evaluate the perception of health professional students about their new educational climate. Methods: A modified and validated Dundee Ready Education Environment Measure (DREEM) questionnaire was used to collect data regarding student perception of their educational environment. Results: The mean DREEM scores for three time periods were in the accepted positive range of 101 to 150 indicating that most of the students perceived the changes positively. The results indicated that most students preferred blended learning over online learning or face-to-face learning alone. Areas where students were unsatisfied with their learning environment that need improvement were identified by poor item-wise scores. Conclusion: Strategic remedial measures for these concerns need to be developed to improve the quality of education received by the students. However, the results of our study indicated that most of the students were able to adapt positively to the new education environment due to the change in the circumstances during COVID.

Student Perception and Preferences With Social Media for Enhanced Learning in Health Sciences Following Post-COVID-19 Era: A Cross-Sectional Study.

Background During the COVID-19 pandemic, universities worldwide pivoted to distance education, primarily online, using various blended learning tools. In the contemporary era, characterized by widespread high-speed internet and the ubiquity of social media (SM), SM has become an essential tool, especially among students. This study aimed to assess the perception, impact, and preferences of various SM platforms for learning among health sciences students in the post-COVID-19 era. Methodology The study was conducted at constituent colleges of Jouf University and Northern Border University between January and June 2022. Responses from 560 students were assessed using a self-administered, pre-validated questionnaire comprising 31 questions. These questions addressed students' perceptions, preferences, and learning modes derived from SM. Descriptive and inferential statistics evaluated the influence of SM on student learning. Results On average, students spent 3.18 hours daily on SM. YouTube (41.1%) and Instagram (37.1%) emerged as the most preferred platforms for learning. A significant 86.4% of students utilized SM for accessing subject-related texts and watching related videos. Moreover, 78.6% believed that SM platforms enhanced their subject knowledge following lectures. Logistic regression analysis indicated maximum learning benefits for students who used SM between two to three hours daily. Conclusion Social media platforms, when used judiciously, can enhance the learning experience for health sciences students in the post-COVID era. While offering opportunities to acquire new knowledge and skills, care must be taken to prevent misuse, abuse, or related health hazards.

National Institute on Drug Abuse: Dissemination of Scientific Knowledge to Improve Adolescent Health.

The wide and effective dissemination of research findings is crucial to the mission of the National Institute on Drug Abuse (NIDA). This article describes NIDA dissemination efforts and resources that are available to inform clinicians, teens, families, and educators about youth and substance use. Resources that are available include content addressing facts about youth drug use, trends in use, and stigma, in addition to substance use disorder (SUD) prevention and treatment. Information is provided about resources such as infographics, research-based practice guides, training, educational events, and online videos. How input is solicited to inform dissemination efforts is described and future directions for NIDA's dissemination efforts are outlined.

A Brief Screening and Assessment Tool for Opioid Use in Adults: Results from a Validation Study of the Tobacco, Alcohol, Prescription Medication, and Other Substances Tool.

OBJECTIVES: This secondary analysis evaluated opioid-specific validation results of the Tobacco, Alcohol, Prescription Medication, and Other Substances (TAPS) tool for screening in primary care. METHODS: This study is a secondary data analysis of the TAPS validation study. Performance of the TAPS tool for screening for unhealthy opioid use (with a score of 1+ for heroin and/or prescription opioids representing a positive screen) was evaluated. Discriminative ability was examined in comparison with reference standard measures across the spectrum of unhealthy opioid use: timeline follow-back with and without oral fluid testing identifying past-month use and the modified Composite International Diagnostic Interview for past-year problem use, opioid use disorder (OUD), and moderate-severe OUD. RESULTS: In a sample of 2000 primary care patients, 114 screened positive for opioids on the TAPS tool. With a TAPS cutoff equal to 1+, the TAPS accurately identified past-month use, problem use, any OUD, and moderate-severe OUD (sensitivities = 68%-85%, specificities = 97%-98%, area under the curve = 0.80-0.91). When past-month use was expanded to include timeline follow-back with oral fluid testing, accuracy declined (52% sensitivity [95% confidence interval, 43%-60%], 98% specific [95% confidence interval, 97%-98%]). CONCLUSIONS: While further testing in a larger population sample may be warranted, given their brevity, simplicity, and accuracy when self-administered, the TAPS opioid items can be used in primary care settings for a spectrum of unhealthy opioid use; however, self-disclosure remains an issue in primary care settings.

Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder.

BACKGROUND: Multiple digital data sources can capture moment-to-moment information to advance a robust understanding of opioid use disorder (OUD) behavior, ultimately creating a digital phenotype for each patient. This information can lead to individualized interventions to improve treatment for OUD. OBJECTIVE: The aim is to examine patient engagement with multiple digital phenotyping methods among patients receiving buprenorphine medication for OUD. METHODS: The study enrolled 65 patients receiving buprenorphine for OUD between June 2020 and January 2021 from 4 addiction medicine programs in an integrated health care delivery system in Northern California. Ecological momentary assessment (EMA), sensor data, and social media data were collected by smartphone, smartwatch, and social media platforms over a 12-week period. Primary engagement outcomes were meeting measures of minimum phone carry (≥8 hours per day) and watch wear (≥18 hours per day) criteria, EMA response rates, social media consent rate, and data sparsity. Descriptive analyses, bivariate, and trend tests were performed. RESULTS: The participants' average age was 37 years, 47% of them were female, and 71% of them were White. On average, participants met phone carrying criteria on 94% of study days, met watch wearing criteria on 74% of days, and wore the watch to sleep on 77% of days. The mean EMA response rate was 70%, declining from 83% to 56% from week 1 to week 12. Among participants with social media accounts, 88% of them consented to providing data; of them, 55% of Facebook, 54% of Instagram, and 57% of Twitter participants provided data. The amount of social media data available varied widely across participants. No differences by age, sex, race, or ethnicity were observed for any outcomes. CONCLUSIONS: To our knowledge, this is the first study to capture these 3 digital data sources in this clinical population. Our findings demonstrate that patients receiving buprenorphine treatment for OUD had generally high engagement with multiple digital phenotyping data sources, but this was more limited for the social media data. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3389/fpsyt.2022.871916.

Assessment of Screening Tools to Identify Substance Use Disorders Among Adolescents.

Importance: Efficient screening tools that effectively identify substance use disorders (SUDs) among youths are needed. Objective: To evaluate the psychometric properties of 3 brief substance use screening tools (Screening to Brief Intervention [S2BI]; Brief Screener for Tobacco, Alcohol, and Drugs [BSTAD]; and Tobacco, Alcohol, Prescription Medication, and Other Substances [TAPS]) with adolescents aged 12 to 17 years. Design, Setting, and Participants: This cross-sectional validation study was conducted from July 1, 2020, to February 28, 2022. Participants aged 12 to 17 years were recruited virtually and in person from 3 health care settings in Massachusetts: (1) an outpatient adolescent SUD treatment program at a pediatric hospital, (2) an adolescent medicine program at a community pediatric practice affiliated with an academic institution, and (3) 1 of 28 participating pediatric primary care practices. Participants were randomly assigned to complete 1 of the 3 electronic screening tools via self-administration, followed by a brief electronic assessment battery and a research assistant-administered diagnostic interview as the criterion standard measure for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnoses of SUDs. Data were analyzed from May 31 to September 13, 2022. Main Outcomes and Measures: The main outcome was a DSM-5 diagnosis of tobacco/nicotine, alcohol, or cannabis use disorder as determined by the criterion standard World Mental Health Composite International Diagnostic Interview Substance Abuse Module. Classification accuracy of the 3 substance use screening tools was assessed by examining the agreement between the criterion, using sensitivity and specificity, based on cut points for each tool for use disorder, chosen a priori from previous studies. Results: This study included 798 adolescents, with a mean (SD) age of 14.6 (1.6) years. The majority of participants identified as female (415 [52.0%]) and were White (524 [65.7%]). High agreement between screening results and the criterion standard measure was observed, with area under the curve values ranging from 0.89 to 1 for nicotine, alcohol, and cannabis use disorders for each of the 3 screening tools. Conclusions and Relevance: These findings suggest that screening tools that use questions on past-year frequency of use are effective for identifying adolescents with SUDs. Future work could examine whether these tools have differing properties when used with different groups of adolescents in different settings.

National Institute on Drug Abuse: Dissemination of Scientific Knowledge to Improve Adolescent Health.

The wide and effective dissemination of research findings is crucial to the mission of the National Institute on Drug Abuse (NIDA). This article describes NIDA dissemination efforts and resources that are available to inform clinicians, teens, families, and educators about youth and substance use. Resources that are available include content addressing facts about youth drug use, trends in use, and stigma, in addition to substance use disorder (SUD) prevention and treatment. Information is provided about resources such as infographics, research-based practice guides, training, educational events, and online videos. How input is solicited to inform dissemination efforts is described and future directions for NIDA's dissemination efforts are outlined.

Effects of Training on Use of Stimulant Diversion Prevention Strategies by Pediatric Primary Care Providers: Results from a Cluster-Randomized Trial.

Pediatric primary care is a promising setting for reducing diversion of stimulant medications for ADHD. We tested if training pediatric primary care providers (PCPs) increased use of diversion prevention strategies with adolescents with ADHD. The study was a cluster-randomized trial in 7 pediatric primary care practices. Participants were pediatric PCPs (N = 76) at participating practices. Practices were randomized to a 1-h training in stimulant diversion prevention or treatment-as-usual. At baseline, 6 months, 12 months, and 18 months, PCPs rated how often they used four categories of strategies: patient/family education, medication management/monitoring, assessment of mental health symptoms/functioning, and assessment of risky behaviors. They completed measures of attitudes, implementation climate, knowledge/skill, and resource constraints. Generalized Estimating Equations estimated differences in outcomes by condition. Mediation analyses tested if changes in knowledge/skill mediated training effects on strategy use. PCPs in the intervention condition reported significantly greater use of patient/family education strategies at all follow-up time points. There were no differences between conditions in medication management, assessment of mental health symptoms/functioning, or assessment of risky behaviors. At 6 months, PCPs in the intervention condition reported more positive attitudes toward diversion prevention, stronger implementation climate, greater knowledge/skill, and less resource constraints. Differences in knowledge/skill persisted at 12 months and 18 months. Brief training in stimulant diversion had substantial and enduring effects on PCPs' self-reported knowledge/skill and use of patient/family education strategies to prevent diversion. Training had modest effects on attitudes, implementation climate, and resource constraints and did not change use of strategies related to medication management and assessment of mental health symptoms/functioning and risky behaviors. Changes in knowledge/skill accounted for 49% of the total effect of training on use of patient/family education strategies. Trial registration This trial is registered on ClinicalTrials.gov (NCT03080259). Posted March 15, 2017.

The Feasibility and Utility of Harnessing Digital Health to Understand Clinical Trajectories in Medication Treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations.

Introduction: Across the U.S., the prevalence of opioid use disorder (OUD) and the rates of opioid overdoses have risen precipitously in recent years. Several effective medications for OUD (MOUD) exist and have been shown to be life-saving. A large volume of research has identified a confluence of factors that predict attrition and continued substance use during substance use disorder treatment. However, much of this literature has examined a small set of potential moderators or mediators of outcomes in MOUD treatment and may lead to over-simplified accounts of treatment non-adherence. Digital health methodologies offer great promise for capturing intensive, longitudinal ecologically-valid data from individuals in MOUD treatment to extend our understanding of factors that impact treatment engagement and outcomes. Methods: This paper describes the protocol (including the study design and methodological considerations) from a novel study supported by the National Drug Abuse Treatment Clinical Trials Network at the National Institute on Drug Abuse (NIDA). This study (D-TECT) primarily seeks to evaluate the feasibility of collecting ecological momentary assessment (EMA), smartphone and smartwatch sensor data, and social media data among patients in outpatient MOUD treatment. It secondarily seeks to examine the utility of EMA, digital sensing, and social media data (separately and compared to one another) in predicting MOUD treatment retention, opioid use events, and medication adherence [as captured in electronic health records (EHR) and EMA data]. To our knowledge, this is the first project to include all three sources of digitally derived data (EMA, digital sensing, and social media) in understanding the clinical trajectories of patients in MOUD treatment. These multiple data streams will allow us to understand the relative and combined utility of collecting digital data from these diverse data sources. The inclusion of EHR data allows us to focus on the utility of digital health data in predicting objectively measured clinical outcomes. Discussion: Results may be useful in elucidating novel relations between digital data sources and OUD treatment outcomes. It may also inform approaches to enhancing outcomes measurement in clinical trials by allowing for the assessment of dynamic interactions between individuals' daily lives and their MOUD treatment response. Clinical Trial Registration: Identifier: NCT04535583.

Adolescents Treated for Attention-Deficit/Hyperactivity Disorder in Pediatric Primary Care: Characterizing Risk for Stimulant Diversion.

OBJECTIVE: To describe the clinical and psychosocial characteristics, and their hypothesized interrelations, as it pertains to risk for stimulant diversion (sharing, selling, or trading) for adolescents in pediatric primary care treatment for attention-deficit/hyperactivity disorder. METHODS: Baseline data for 341 adolescents in a cluster-randomized controlled trial of stimulant diversion prevention in pediatric primary care (NCT_03080259) were used to (1) characterize diversion and newly measured risk factors, (2) examine their associations with age and sex, and (3) test whether associations among risk factors were consistent with model-implied predictions. Data were collected through multi-informant electronic surveys from adolescents and parents. RESULTS: Diversion was rare (1%) in this sample (Mage = 15, SD = 1.5, 74% male participants). Older age was associated with being approached to divert (r = 0.25, p < 0.001) and higher risk on variables pertinent to stimulant treatment, such as treatment disclosure (r = 0.12, p < 0.05), tolerance for stimulant misuse and diversion (r = 0.17, p < 0.05), and peer norms favorable to stimulant misuse and diversion (r values = 0.15-0.34, p < 0.001). Sex differences were minimal. Variables from our conceptual model and specific to stimulants (e.g., perceived likelihood of negative consequences from diversion and schoolmate stimulant misuse/diversion) were related in multivariable regressions to hypothesized immediate precursors of diversion (e.g., diversion intentions). CONCLUSION: Although diversion was rare for these primary care-treated adolescents, risk levels appear to be higher for older adolescents. Prevention may be most effective by capitalizing on current psychosocial strengths and discussing stimulant-specific attitudes, behaviors, and social norms before vulnerability to diversion increases in the final years of high school and into college.

Use of Stimulant Diversion Prevention Strategies in Pediatric Primary Care and Associations With Provider Characteristics.

PURPOSE: Diversion of stimulant medications for ADHD is a prevalent problem. Pediatric primary care providers (PCPs) are well-positioned to reduce diversion risk among adolescents prescribed stimulants, but little is known about their use of prevention strategies. The objectives of this study were to describe the frequency with which pediatric PCPs use diversion prevention strategies and examine potential determinants (facilitators and barriers) of strategy use. METHODS: Participants were pediatric PCPs (N = 76) participating in a randomized controlled trial of stimulant diversion prevention strategies. At baseline, before randomization, PCPs rated the frequency with which they used specific strategies in each of four categories: patient/family education, medication management/monitoring, assessment of mental health symptoms/functioning, and assessment of risky behaviors. They completed measures of attitudes toward diversion prevention, subjective norms (i.e., implementation climate), and perceived behavioral control (i.e., knowledge/skill, resource constraints). Associations between determinants and strategy use were tested with correlational and regression analyses. RESULTS: PCPs used strategies for assessing mental health symptoms/functioning most frequently and patient/family education strategies least frequently. Attitudes about the effectiveness of diversion prevention, implementation climate, knowledge/skill, and resource constraints were positively correlated with the use of at least one category of strategies. In regression analysis, PCP knowledge/skill was positively associated with patient/family education, medication management, and risk assessment strategies. CONCLUSIONS: Findings suggest that improving knowledge and skill may increase the use of diversion prevention strategies by PCPs. Identifying provider-level determinants of strategy use informs implementation efforts in pediatric primary care and can facilitate efforts to prevent stimulant diversion among adolescents.

The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network.

The application of digital technologies to better assess, understand, and treat substance use disorders (SUDs) is a particularly promising and vibrant area of scientific research. The National Drug Abuse Treatment Clinical Trials Network (CTN), launched in 1999 by the U.S. National Institute on Drug Abuse, has supported a growing line of research that leverages digital technologies to glean new insights into SUDs and provide science-based therapeutic tools to a diverse array of persons with SUDs. This manuscript provides an overview of the breadth and impact of research conducted in the realm of digital health within the CTN. This work has included the CTN's efforts to systematically embed digital screeners for SUDs into general medical settings to impact care models across the nation. This work has also included a pivotal multi-site clinical trial conducted on the CTN platform, whose data led to the very first "prescription digital therapeutic" authorized by the U.S. Food and Drug Administration (FDA) for the treatment of SUDs. Further CTN research includes the study of telehealth to increase capacity for science-based SUD treatment in rural and under-resourced communities. In addition, the CTN has supported an assessment of the feasibility of detecting cocaine-taking behavior via smartwatch sensing. And, the CTN has supported the conduct of clinical trials entirely online (including the recruitment of national and hard-to-reach/under-served participant samples online, with remote intervention delivery and data collection). Further, the CTN is supporting innovative work focused on the use of digital health technologies and data analytics to identify digital biomarkers and understand the clinical trajectories of individuals receiving medications for opioid use disorder (OUD). This manuscript concludes by outlining the many potential future opportunities to leverage the unique national CTN research network to scale-up the science on digital health to examine optimal strategies to increase the reach of science-based SUD service delivery models both within and outside of healthcare.

Electronic self-administered screening for substance use in adult primary care patients: feasibility and acceptability of the tobacco, alcohol, prescription medication, and other substance use (myTAPS) screening tool.

BACKGROUND: The TAPS Tool is a substance use screening and brief assessment instrument that was developed for use in primary care medical settings. It is one of the first screening instruments to provide rapid assessment of all commonly used substance classes, including illicit and prescription opioids, and is one of the only available screeners designed and validated in an electronic self-administered format (myTAPS). This secondary analysis of data from the TAPS Tool validation study describes the feasibility and acceptability of the myTAPS among primary care patients. METHODS: Adult patients (N = 2000) from five primary care clinics completed the TAPS Tool on a tablet computer (myTAPS), and in an interviewer-administered format. Requests for assistance and time required were tracked, and participants completed a survey on ease of use, utilization of audio guidance, and format preference. Logistic regression was used to examine outcomes in defined subpopulations, including groups that may have greater difficulty completing an electronic screener, and those that may prefer an electronic self-administered approach. RESULTS: Almost all participants (98.3%) reported that the myTAPS was easy to use. The median time to complete myTAPS screening was 4.0 min (mean 4.48, standard deviation 2.57). More time was required by participants who were older, Hispanic, Black, or reported non-medical prescription drug use, while less time was required by women. Assistance was requested by 25% of participants, and was more frequently requested by those who with lower education (OR = 2.08, 95% CI 1.62-2.67) or age > 65 years (OR = 2.79, 95% CI 1.98-3.93). Audio guidance was utilized by 18.3%, and was more frequently utilized by participants with lower education (OR = 2.01, 95% CI 1.54-2.63), age > 65 years (OR = 1.79, 95% CI 1.22-2.61), or Black race (OR = 1.30, 95% 1.01-1.68). The myTAPS format was preferred by women (OR = 1.29, 95% CI 1.00-1.66) and individuals with drug use (OR = 1.43, 95% CI 1.09-1.88), while participants with lower education preferred the interviewer-administered format (OR = 2.75, 95% CI 2.00-3.78). CONCLUSIONS: Overall, myTAPS screening was feasible and well accepted by adult primary care patients. Clinics adopting electronic screening should be prepared to offer assistance to some patients, particularly those who are older or less educated, and should have the capacity to use an interviewer-administered approach when required.

Prevalence and patterns of opioid misuse and opioid use disorder among primary care patients who use tobacco.

BACKGROUND: Current data suggest that opioid misuse or opioid use disorder (OUD) may be over represented among tobacco users. However, this association remains understudied in primary care settings. A better understanding of the extent of heterogeneity in opioid misuse among primary care patients who use tobacco may have implications for improved primary care-based screening, prevention, and intervention approaches. METHODS: Data were derived from a sample of 2000 adult (aged ≥18) primary care patients across 5 distinct clinics. Among past-year tobacco users (n = 882), we assessed the prevalence of opioid misuse and OUD by sociodemographic characteristics and past-year polysubstance use. Latent class analysis (LCA) was used to identify heterogeneous subgroups of tobacco users according to past-year polysubstance use patterns. Multinomial logistic regression was used to examine variables associated with LCA-defined class membership. RESULTS: Past-year tobacco use was reported by >84% of participants who reported past-year opioid misuse or OUD. Among those reporting past-year tobacco use, the prevalence of past-year opioid misuse and OUD was 14.0% and 9.5%, respectively. The prevalence of opioid misuse or OUD was highest among tobacco users who were male or unemployed. Three LCA-defined classes among tobacco users were identified including a tobacco-minimal drug use group (78.0%), a tobacco-cannabis use group (10.1%), and a tobacco-opioid/polydrug use group (11.9%). Class membership differed by sociodemographic characteristics. CONCLUSIONS: Results from this study support the benefit of more comprehensive assessment of and/or monitoring for opioid misuse among primary care patients who use tobacco, particularly for those who are male, unemployed, or polydrug users.

Prevalence, patterns, and correlates of multiple substance use disorders among adult primary care patients.

BACKGROUND: Addressing multiple substance use disorders (SUDs) in primary care-based screening and intervention may improve SUD treatment access, engagement, and outcomes. To inform such efforts, research is needed on the prevalence and patterns of multiple SUDs among primary care patients. METHODS: Data were analyzed from a sample of 2000 adult (aged ≥ 18) primary care patients recruited for a multisite National Drug Abuse Treatment Clinical Trials Network (CTN) study (CTN-0059). Past-year DSM-5 SUDs (tobacco, alcohol, and drug) were assessed by the modified Composite International Diagnostic Interview. Prevalence and correlates of multiple versus single SUDs were examined. Latent class analysis (LCA) was used to explore patterns of multiple SUDs. RESULTS: Multiple SUDs were found among the majority of participants with SUD for alcohol, cannabis, prescription opioids, cocaine, and heroin. Participants who were male, ages 26-34, less educated, and unemployed had increased odds of multiple SUDs compared to one SUD. Having multiple SUDs was associated with greater severity of tobacco or alcohol use disorder. LCA of the sample identified three classes: class 1 (83.7%) exhibited low prevalence of all SUDs; class 2 (12.0%) had high-moderate prevalence of SUDs for tobacco, alcohol, and cannabis; class 3 (4.3%) showed high prevalence of SUD for tobacco, opioids, and cocaine. LCA-defined classes were distinguished by sex, age, race, education, and employment status. CONCLUSIONS: Findings suggest that primary care physicians should be aware of multiple SUDs when planning treatment, especially among adults who are male, younger, less educated, or unemployed. Interventions that target multiple SUDs warrant future investigation.

Perceived academic benefit is associated with nonmedical prescription stimulant use among college students.

INTRODUCTION: College students are at higher than average risk for nonmedical use of prescription stimulants (NPS). A commonly identified motive among students who engage in NPS is to improve grades. Several research studies have observed that NPS most likely does not confer an academic advantage, and is associated with excessive drinking and other drug use. This study documents the proportion of the general college student population who believe that NPS will lead to improvements in academic performance. METHODS: This study gathered online survey data from a large, demographically diverse sample of college students to document the prevalence of perceived academic benefit of NPS for improving grades and to examine the association between such belief and NPS. RESULTS: Overall, 28.6% agreed or strongly agreed that NPS could help students earn higher grades, and an additional 38.0% were unsure. Students with a higher level of perceived academic benefit of NPS and more frequent patterns of drinking and marijuana use were more likely to engage in NPS, even after adjustment for a wide range of covariates. CONCLUSIONS: The results underscore the need for interventions that simultaneously correct misperceptions related to academic benefit and target alcohol and marijuana use to reduce NPS.