Mobile Medication Adherence Platform for Buprenorphine (MAP4BUP): A Phase I feasibility, usability and efficacy pilot randomized clinical trial.

BACKGROUND/AIM: Poor medication adherence is one of the main barriers to the long-term efficacy of buprenorphine/naloxone (BUP/NAL). The aims of this pilot investigation were to examine if a Bluetooth-enabled pill cap and mobile application is a feasible, usable tool for increasing BUP/NAL adherence among people with an opioid use disorder. METHODS: This pilot randomized clinical trial (RCT; total n = 41) lasted 12 weeks and was conducted in two office-based BUP/NAL provider locations in Spokane, WA and Coeur d'Alene, ID from January 2020 to September of 2021 with an 11-month gap due to COVID-19. Patients receiving BUP/NAL who consented to participate were randomized to receive the pill cap device (PLY group; n = 19) or a service as usual (SAU group; n = 22) group that included an identical but inactive cap for their bottle. The PLY group received reminders via text and voice, and the support of a "helper" (e.g., friend) to monitor pill cap openings. RESULTS: Most participants in PLY group found the device both feasible (92.86 %) and usable (78.57 %). Most participants liked using the device (92.86 %) and were satisfied with the device (85.71 %). While not statistically different from one another, medication adherence per the Medication Possession Ratio was 75 % in the SAU group and 84 % in the PLY group. Pill cap openings were significantly higher in the PLY group with an average of 91.8 openings versus the SAU group's average of 56.7 (p < 0.05). CONCLUSION: The devices was feasible, usable, and patients had high levels of satisfaction. The device was associated with increased pill openings.

Incremental Predictive Validity of the Dualistic Model of Passion for Cannabis Use Among College Undergraduate Students With and Without a Cannabis Use Disorder.

Introduction: We examined whether the Dualistic Model of Passion (DMP; i.e., obsessive passion [OP] and harmonious passion [HP]) for cannabis use was prospectively associated with cannabis use and use-related outcomes, and with academic performance, relationship attachment style, and social connectedness among college students. We also explored whether the DMP was associated with outcomes when included in a model using established constructs (e.g., coping motives, refusal self-efficacy, cannabis use disorder [CUD] symptoms) as predictors of cannabis use and outcomes. Methods: Using a longitudinal cohort design (baseline, 5-month, 10-month [timepoints chosen to better correspond to 9-month academic year]), 513 undergraduate students from two universities who reported using cannabis at least four times in the past month completed a baseline survey (308 meeting criteria for CUD). We used Generalized Estimating Equations to assess longitudinal associations between OP/HP and cannabis use and academic/social outcomes at 5-month and 10-month. Results: At baseline, participants were young adults (Mean age = 20.57, SD = 2.51), 78.8% non-Hispanic, 83.8% White, 55.0% female, and 72.3% heterosexual. Greater HP was not associated with greater past month cannabis use or cannabis-related problems. Greater OP was associated with greater past month cannabis use and more cannabis-related problems. There were no significant passion by time interactions. Greater HP was associated with more anxious attachment. OP was associated with less social connection. Conclusion: This research suggests that the DMP provides novel information about factors associated with cannabis use and use-related consequences, which can aid in our understanding of cannabis use, misuse, and CUD among college students.

Assessing Clinically Significant Cognitive Impairment Using the NIH Toolbox in Individuals with Co-occurring Serious Mental Illness and Alcohol Use Disorder.

OBJECTIVE: Serious mental illnesses (SMI) and alcohol use disorder (AUD) co-occurrence (SMI-AUD) is common, yet little is known about the prevalence and risk factors of cognitive impairment for this population. We used the National Institutes of Health (NIH) Toolbox to identify clinically significant cognitive impairment (CSCI), describe the cognitive profile, and investigate whether psychiatric and AUD severity measures are associated with CSCI in individuals with SMI-AUD. METHODS: CSCI was defined as 2 or more fully corrected fluid subtest T scores below a set threshold based on an individual's crystalized composite score. Psychiatric severity measures included the Structured Clinical Interview for DSM-V (SCID-5) for SMI diagnosis and the Positive and Negative Syndrome Scale. AUD severity measures included the SCID-5 for AUD symptom severity score, years of alcohol use, and urine ethyl glucuronide levels. A multivariable logistic regression was used to investigate the adjusted effects of each variable on the probability of CSCI. RESULTS: Forty-one percent (N = 55/135) of our sample had CSCI compared with the base rate of 15% from the NIH Toolbox normative sample. Subtests measuring executive function most frequently contributed to meeting criteria for CSCI (Flanker and Dimensional Change Card Sort). A history of head injury ( P = 0.033), increased AUD symptom severity score ( P = 0.007) and increased negative symptom severity score ( P = 0.027) were associated with CSCI. CONCLUSIONS: Cognition should be considered in the treatment of people with SMI-AUD, particularly in those with history of brain injury, higher AUD symptom severity, and/or negative symptom severity.

Investigating Secondary Alcohol Outcomes in a Contingency Management Intervention among American Indian and Alaska Native Adults.

OBJECTIVE: The aim of the study is to investigate clinically meaningful, secondary outcomes in a randomized trial of a culturally adapted contingency management (CM) intervention for alcohol use in 3 diverse American Indian and Alaska Native communities. METHODS: Three American Indian and Alaska Native communities located in the Northern Plains, Alaska, and the Inland Northwest were partnering sites. A total of 158 individuals were randomized to either a 12-week CM intervention or a noncontingent (NC) control group. The CM group received reinforcers for providing alcohol-negative ethyl glucuronide (EtG < 150 ng/mL) urine samples, while the NC group received reinforcers unconditionally. Outcomes included EtG as a continuous measure (range, 0-2,000 ng/mL), EtG > 499 ng/mL (a measure of higher levels of recent alcohol use), longest duration of abstinence, and time-to-first alcohol-positive EtG during the trial. Generalized estimating equations along with Cox proportional hazard and negative binomial regressions were used. RESULTS: Participants randomized to the CM group had lower mean EtG levels (-241.9 ng/mL; 95% confidence interval [CI], -379.0 to -104.8 ng/mL) and 45.7% lower odds (95% CI, 0.31 to 0.95) of providing an EtG sample indicating higher levels of alcohol use during the intervention. Longest duration of abstinence was 43% longer for the CM group than the NC group (95% CI, 1.0 to 1.9). Risk of time-to-first drink during treatment did not differ significantly. CONCLUSIONS: These secondary outcome analyses provide evidence that CM is associated with reductions in alcohol use and longer durations of abstinence (as assessed by EtG), both clinically meaningful endpoints and analyses that differ from the primary study outcome.

Geo-spatial risk factor analysis for drug overdose death in South Florida from 2014 to 2019, and the independent contribution of social determinants of health.

PURPOSE: The physical environment and social determinants of health have been shown to influence health behaviors including drug use and fatal drug overdose. The current research examines the effects of the built environment, social determinants of health measures and aggregated risk from the built environment at neighborhood-level on drug overdose death locations in Miami-Dade County, Florida. METHODS: Risk Terrain Modeling (RTM) was used to assess the place features risk factors that significantly increase the risk of drug overdose death spatially in Miami-Dade County ZIP Code Tabulation Areas, Florida from 2014 to 2019. An aggregated neighborhood risk of fatal drug overdose measure was developed by averaging the risk per grid cell from the RTM within census block groups each year. Six logistic and zero-inflated regression models were built to examine the effects of three indices of incident-specific social determinants of health (IS-SDH) measures and aggregated risk measures separately, and simultaneously on drug overdose death locations each year. RESULTS: Seven place features including parks, bus stops, restaurants and grocery stores were significantly related to the occurrence of fatal drug overdoses. When examined separately, one or more indices of the IS-SDH were significant covariates of drug overdose locations in some years. When examined simultaneously, the three indices of the IS-SDH and aggregated risk of fatal drug overdose measure could be all significant in certain years. CONCLUSIONS: The patterns of high-risk areas and place features identified from the RTM related to drug overdose deaths may be used to inform the placement of treatment and prevention resources. A multi-factor approach that combines an aggregated neighborhood risk measure reflecting the risk from the built environment and the incident-specific social determinants of health measures can be used to identify the drug overdose death locations in certain years.

Patient Feedback on a Mobile Medication Adherence App for Buprenorphine and Naloxone: Closed and Open-Ended Survey on Feasibility and Acceptability.

BACKGROUND: Opioid use disorders impact the health and well-being of millions of Americans. Buprenorphine and naloxone (BUP and NAL) can reduce opioid overdose deaths, decrease misuse, and improve quality of life. Unfortunately, poor medication adherence is a primary barrier to the long-term efficacy of BUP and NAL. OBJECTIVE: We aimed to examine patient feedback on current and potential features of a Bluetooth-enabled pill bottle cap and associated mobile app for patients prescribed BUP and NAL for an opioid use disorder, and to solicit recommendations for improvement to effectively and appropriately tailor the technology for people in treatment for opioid use disorder. METHODS: A convenience sample of patients at an opioid use disorder outpatient clinic were asked about medication adherence, opioid cravings, experience with technology, motivation for treatment, and their existent support system through a brief e-survey. Patients also provided detailed feedback on current features and features being considered for inclusion in a technology designed to increase medication adherence (eg, inclusion of a personal motivational factor, craving and stress tracking, incentives, and web-based coaching). Participants were asked to provide suggestions for improvement and considerations specifically applicable to people in treatment for opioid use disorder with BUP and NAL. RESULTS: Twenty people with an opioid use disorder who were prescribed BUP and NAL participated (mean age 34, SD 8.67 years; 65% female; 80% White). Participants selected the most useful, second-most useful, and least useful features presented; 42.1% of them indicated that motivational reminders would be most useful, followed by craving and stress tracking (26.3%) and web-based support forums (21.1%). Every participant indicated that they had at least 1 strong motivating factor for staying in treatment, and half (n=10) indicated children as that factor. All participants indicated that they had, at some point in their lives, the most extreme craving a person could have; however, 42.1% indicated that they had no cravings in the last month. Most respondents (73.7%) stated that tracking cravings would be helpful. Most respondents (84.2%) also indicated that they believed reinforcers or prizes would help them achieve their treatment goals. Additionally, 94.7% of respondents approved of adherence tracking to accommodate this feature using smart packaging, and 78.9% of them approved of selfie videos of them taking their medication. CONCLUSIONS: Engaging patients taking treatment for opioid use disorder with BUP and NAL allowed us to identify preferences and considerations that are unique to this treatment area. As the technology developer of the pill cap and associated mobile app is able to take into consideration or integrate these preferences and suggestions, the smart cap and associated mobile app will become tailored to this population and more useful for them, which may encourage patient use of the smart cap and associated mobile app.

Automated Reinforcement Management System: Feasibility study findings of an app-based contingency management treatment for alcohol use disorder.

Alcohol Use Disorder (AUD) is the most prevalent substance use disorder in the United States and is directly related to 5% of all annually reported deaths worldwide. Contingency Management (CM) is among the most effective interventions for AUD, with recent technological advancements allowing CM to be provided remotely. Objective: To evaluate the feasibility and acceptability of a mobile Automated Reinforcement Management System (ARMS) designed to provide CM for AUD remotely. Methods: Twelve participants with mild or moderate AUD were exposed to ARMS in a A-B-A within-subject experimental design where they were required to submit three breathalyzer samples per day. During the B phase participants could earned rewards with monetary value for submitting negative samples. Feasibility was determined by the proportion of samples submitted and retention in the study and acceptability was based on participants self-reported experience. Results: The mean number of samples submitted per day was 2.02 out of 3. The proportion of samples submitted in each phase was 81.5%, 69.4% and 49.4%, respectively. Participants were retained for a mean of 7.5 (SD=1.1) out of 8 weeks with 10 participants (83.3%) completing the study. All participants found the app easy to use and stated it helped them reduce their alcohol use. Eleven (91.7%) would recommend the app as an adjunct to AUD treatment. Preliminary indicators of efficacy are also presented. Conclusions: ARMS has shown to be feasible and well accepted. If shown effective, ARMS can serve as an adjunctive treatment for AUD.

Validation of the quantification of phosphatidylethanol 16:0/18:1 concentrations in TASSO-M20 devices.

BACKGROUND: Phosphatidylethanol 16:0/18:1 (PEth), found in whole blood, is a biomarker for alcohol consumption with high sensitivity, specificity, and a long detection window. The TASSO-M20 device is used to self-collect capillary blood from the upper arm and has advantages over finger stick methods. The purpose of this study was to (1) validate PEth measurement using the TASSO-M20 device, (2) describe the TASSO-M20 for blood self-collection during a virtual intervention, and (3) characterize PEth, urinary ethyl glucuronide (uEtG) and self-reported alcohol in a single participant over time. METHODS: PEth levels in blood samples dried on TASSO-M20 plugs were compared to those in (1) liquid whole blood (N = 14) and (2) dried blood spot cards (DBS; N = 23). Additionally, the self-reported drinking, positive or negative uEtG results (dip card cutoff ≥300 ng/mL), and observed self-collection of blood with TASSO-M20 devices for PEth levels were obtained over time during virtual interviews of a single contingency management participant. High-performance liquid chromatography with tandem mass spectrometry detection was used to measure PEth levels for both preparations. RESULTS: PEth concentrations from dried blood on TASSO-M20 plugs and liquid whole blood were correlated (0 to 1700 ng/mL; N = 14; r2  = 0.988; slope = 0.951) and in a subgroup of samples with lower concentrations (N = 7; 0 to 200 ng/mL; r2  = 0.944, slope = 0.816). PEth concentrations from dried blood on TASSO-M20 plugs and DBS were correlated (0 to 2200 ng/mL; N = 23; r2  = 0.927; slope = 0.667) and in a subgroup of samples with lower concentrations (N = 16; 0 to 180 ng/mL; r2  = 0.978, slope = 0.749). Results of the contingency management participant indicate that changes in PEth levels (TASSO-M20) and uEtG concentrations were consistent with each other and with changes in self-reported alcohol use. CONCLUSIONS: Our data support the utility, accuracy, and feasibility of using the TASSO-M20 device for blood self-collection during a virtual study. The TASSO-M20 device had multiple advantages over the typical finger stick method, including consistent blood collection, participant acceptability, and less discomfort as indicated by acceptability interviews.

Exploring the mediating role of baseline urinalysis results on demographic characteristics and stimulant use disorder treatment outcomes.

INTRODUCTION: Baseline stimulant urinalysis (UA) is one of the most reliable predictors of stimulant use disorder treatment outcomes. Yet we know little about the role of baseline stimulant UA mediating the effects of different baseline characteristics on treatment outcomes. OBJECTIVES: This study aimed to explore the potential mediating role of baseline stimulant UA results on the relationship between baseline characteristics and total number of stimulant negative UAs submitted during treatment. METHODS: The study team conducted analyses on data from a multisite randomized clinical trial of contingency management (CM) targeting stimulant use among individuals enrolled in methadone maintenance treatment programs (n = 394). Baseline characteristics included trial arm, education, race, sex, age, and Addiction Severity Index (ASI) composite measures. Baseline stimulant UA was the mediator and total number of stimulant negative UAs provided during treatment was the primary outcome variable. RESULTS: The baseline characteristics of sex (OR = 1.85), ASI drug (OR = 0.01) and psychiatric (OR = 6.20) composites were directly associated with the baseline stimulant UA result (p < 0.05 for all). Baseline stimulant UA result (B = -8.24), trial arm (B = -2.55), ASI drug composite (B = -8.38) and education (B = -1.95) were directly associated with the total number of negative UAs submitted (p < 0.05 for all). The evaluation of indirect effects of baseline characteristics on the primary outcome through baseline stimulant UA revealed significant mediated effects for the ASI drug composite (B = -5.50) and age (B = -0.05; p < 0.05 for both). CONCLUSIONS: Baseline stimulant UA is a strong predictor of stimulant use treatment outcomes and mediates the association of some baseline characteristics and a stimulant use treatment outcome.

A longitudinal examination of alcohol use and emotion dysregulation in adolescence.

Underage drinking is a serious public health concern with magnified physical and psychological risks. Previous research suggests that emotion dysregulation is one factor linked to alcohol use. Limited research has examined emotion dysregulation and alcohol use in adolescent populations, thus the present study aimed to examine the links by assessing the role of emotion dysregulation and its subscales in adolescent alcohol use over time. Participants were 695 high school students, with 309 students having completed Time 2 data collection at a 6-month follow-up. Participants completed measures that assessed Alcohol Use, Emotion Dysregulation, and Emotion Dysregulation subscales. In a negative binomial hurdle model, adolescents with greater emotion regulation difficulties at baseline had significantly greater odds of endorsing any alcohol use at baseline. Greater emotion dysregulation did not significantly predict drinking status or drinking level 6 months later when controlling for baseline alcohol use. Adolescents who reported greater emotional clarity difficulties at baseline were more likely to report any alcohol use at baseline. Among adolescents who drink, reporting greater difficulties accessing emotion regulation strategies was associated with greater alcohol use at baseline and 6 months later. These findings indicate that emotion dysregulation is a cross-sectional marker of alcohol use in adolescents; however, results did not show emotion dysregulation to be a prospective predictor of greater alcohol use. Future research is needed to replicate findings in a more diverse sample of adolescents. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

How Media Literacy, Trust of Experts and Flu Vaccine Behaviors Associated with COVID-19 Vaccine Intentions.

PURPOSE: To assess how previous experiences and new information contributed to COVID-19 vaccine intentions. DESIGN: Online survey (N = 1264) with quality checks. SETTING: Cross-sectional U.S. survey fielded June 22-July 18, 2020. SAMPLE: U.S. residents 18+; quotas reflecting U.S. Census, limited to English speakers participating in internet panels. MEASURES: Media literacy for news content and sources, COVID-19 knowledge; perceived usefulness of health experts; if received flu vaccine in past 12 months; vaccine willingness scale; demographics. ANALYSIS: Structural equation modelling. RESULTS: Perceived usefulness of health experts (b = .422, P < .001) and media literacy (b = .162, P < .003) predicted most variance in vaccine intentions (R-squared=31.5%). A significant interaction (b = .163, P < .001) between knowledge (b = -.132, P = .052) and getting flu shot (b = .185, P < .001) predicted additional 3.5% of the variance in future vaccine intentions. An increase in knowledge of COVID-19 associated with a decrease in vaccine intention among those declining the flu shot. CONCLUSION: The interaction result suggests COVID-19 knowledge had a positive association with vaccine intention for flu shot recipients but a counter-productive association for those declining it. Media literacy and trust in health experts provided strong counterbalancing influences. Survey-based findings are correlational; thus, predictions are based on theory. Future research should study these relationships with panel data or experimental designs.

Econometric Issues in Prospective Economic Evaluations Alongside Clinical Trials: Combining the Nonparametric Bootstrap With Methods That Address Missing Data.

Prospective economic evaluations conducted alongside clinical trials have become an increasingly popular approach in evaluating the cost-effectiveness of a public health initiative or treatment intervention. These types of economic studies provide improved internal validity and accuracy of cost and effectiveness estimates of health interventions and, compared with simulation or decision-analytic models, have the advantage of jointly observing health and economics outcomes of trial participants. However, missing data due to incomplete response or patient attrition, and sampling uncertainty are common concerns in econometric analysis of clinical trials. Missing data are a particular problem for comparative effectiveness trials of substance use disorder interventions. Multiple imputation and inverse probability weighting are 2 widely recommended methods to address missing data bias, and the nonparametric bootstrap is recommended to address uncertainty in predicted mean cost and effectiveness between trial interventions. Although these methods have been studied extensively by themselves, little is known about how to appropriately combine them and about the potential pitfalls and advantages of different approaches. We provide a review of statistical methods used in 29 economic evaluations of substance use disorder intervention identified from 4 published systematic reviews and a targeted search of the literature. We evaluate how each study addressed missing data bias, whether the recommended nonparametric bootstrap was used, how these 2 methods were combined, and conclude with recommendations for future research.

Supporting perinatal individuals with opioid use disorder and their newborns experiencing neonatal abstinence syndrome: impressions from patients and healthcare providers.

Background: Facilitating maternal-newborn involvement and care is critical for improving outcomes for perinatal individuals receiving opioid agonist therapy (OAT) and newborns experiencing Neonatal Abstinence Syndrome (NAS). Comprehensive education strategies are needed to prepare pregnant individuals receiving OAT for navigating the perinatal period.Objectives: Identify facilitators to successful care of perinatal individuals receiving OAT and newborns experiencing NAS via interviews with perinatal individuals and healthcare providers. The goal of identifying this information is to inform a future educational tool development.Methods: Ten perinatal individuals receiving OAT and ten healthcare providers participated in interviews conducted via phone or video conference using semi-structured, open-ended questions. Data were analyzed separately for the two groups and later merged across samples using a qualitative descriptive content analysis approach to identify themes.Results: Under the overarching theme of empowerment to improve outcomes for perinatal women, four themes arose from perinatal and provider interviews: 1) Preparation for Child Protective Services (CPS) involvement, 2) Healthcare providers shape experience through stigma and support 3) Caring for newborns with NAS, and 4) Managing health and resources during postpartum.Conclusion: Perinatal participants emphasized the importance of self-advocacy while navigating healthcare and social systems. Providers highlighted the importance of communicating expectations to empower patients. Education is needed for pregnant individuals receiving OAT on what to expect during pregnancy and postpartum, as well as for providers to help them optimally support their perinatal patients receiving OAT.

A randomized pilot trial of a mobile phone-based brief intervention with personalized feedback and interactive text messaging to reduce driving after cannabis use and riding with a cannabis impaired driver.

INTRODUCTION: Driving after cannabis use (DACU) and riding with a cannabis-impaired driver (RWCD) are national public health concerns. Though driving impairments and increased crash risk make DACU and RWCD two of the riskiest cannabis-related behaviors, many continue to drive after use and ride with others who are under the influence and do not view DACU or RWCD as dangerous. The current study examined the efficacy of an accessible, low-cost, mobile phone-based brief intervention aimed at reducing DACU and RWCD among college cannabis users in the context of a randomized three-group pilot trial. METHOD: Participants were 97 college cannabis users (67.4 % women; average age = 21.34; 80.4 % Caucasian) who endorsed DACU at least three times in the past three months. After completing baseline measures, the study randomly assigned participants to one of three conditions: a) a substance impaired-driving personalized feedback plus MI-style interactive text messaging intervention (PF + MIT); b) a substance impaired-driving personalized feedback only intervention (PF); and c) a substance information control condition (IC). All conditions completed outcome measures three months postintervention. RESULTS: Generalized linear mixed models (GLMM) analyses indicated that after controlling for sex, cannabis users in the PF + MIT condition significantly reduced DACU and RWCD over time compared to those in the IC condition. CONCLUSIONS: These findings provide preliminary support for the short-term efficacy of a mobile phone-based intervention in decreasing DACU and RWCD among college cannabis users. Future research should determine whether these reductions in driving behaviors persist past three months.

A systematic review of N-of-1 trials and single case experimental designs in physiotherapy for musculoskeletal conditions.

BACKGROUND: Single Case Experimental Designs (SCEDs) are especially useful for small heterogeneous samples. Their role in evaluation of physiotherapy interventions for musculoskeletal conditions has not been systematically reviewed. OBJECTIVES: Systematically review use, purpose, and outcomes of SCEDs for physiotherapy interventions for musculoskeletal conditions. DATA SOURCES: Electronic databases and grey literature, searched using pre-defined terms. STUDY SELECTION OR ELIGIBILITY CRITERIA: Studies of human participants enrolled in eligible SCEDs (individual or a series). STUDY APPRAISAL AND SYNTHESIS METHODS: We extracted study characteristics, analytic methods and results, synthesising these descriptively. We used RoBiN-T scale to assess risk of bias. RESULTS: We included 19 SCEDs comprising 92 participants, with wide variability in design, methodology, analysis and in conditions and interventions evaluated. 95% of participants responded favourably to the tested intervention. Overall risk of bias was high, due to poor internal validity, especially regarding randomisation, blinding, inter-rater agreement and measurement of treatment adherence. Visual analysis alone was performed in 55% of studies. Assessment of provider and participant satisfaction was limited. CONCLUSIONS AND IMPLICATIONS: of key findings: SCEDs may be well-suited to evaluation of physiotherapy interventions for musculoskeletal conditions, but the risk of bias in studies to date is high. Following SCED guidelines to minimize the risk of bias and maximise clinical usefulness is recommended.

Sensitivity and specificity of pupillary light reflex measures for ASD using monocular pupillometry.

INTRODUCTION: Automated hand-held pupillometry demonstrates precision accuracy, offering promise for augmenting ASD screening. METHODS: Monocular pupillometry was examined in children and adolescents (36 ASD; 24 TD). Multiple logistic regression and receiver operating characteristic analysis assessed PLR metrics and diagnostic status. RESULTS: Constriction time (Ct1) (ASD: M = 0.69, SD = 0.21; TD: M = 0.82, SD = 0.18; t(58 = 2.37; p = 0.02) and return to baseline (RTB T75) (ASD: M = 2.93, SD = 1.21; TD: M = 2.32, SD = 1.08; t(58) = - 2.03; p = 0.04) predicted ASD (ß = - 1.31, OR = 0.27; RTB T75, ß = 0.156, OR = 1.162). Sensitivity = 74.8%, when RTB ≥ 1.83 s and 69.4% when Ct1 = 0.785 s. CONCLUSION: Findings suggest monocular pupillometry captures differences detecting ASD.

Automated Reinforcement Management System (ARMS): focused phase I provider feedback.

BACKGROUND: Alcohol use increases risk for morbidity and mortality and is associated with over 3 million annual deaths worldwide. Contingency Management (CM) is one of the most effective interventions for substance use disorders, and has recently been coupled with technologies to promote novel treatments for alcohol use disorders (AUD). Leveraging these technological advances, we are developing the Automated Reinforcement Management System (ARMS), an integrated CM system designed to enable CM treatment as a component of a digital therapeutic or adjunct therapy remotely to anyone with a smartphone. OBJECTIVE: To collect detailed provider feedback on ARMS and determine the need for modifications to make the system most feasible, acceptable, and useful to providers. METHODS: Seven providers completed one-hour structured interviews/focus groups wherein we described the ARMS system and its application to clinical care. Providers viewed screen shots of the ARMS provider facing and patient facing systems. Providers gave feedback on their current AUD treatment practices, preferences for the functionality and appearance of the system, preferences for receipt of information on their patients, why they and their patients would or would not use the system, suggestions for improvement, and the proposed intervention overall. To analyze the qualitative data gathered, we used a qualitative descriptive approach with content analysis methods. RESULTS: The overarching theme of Individualized Treatment emerged throughout the interviews. This sentiment supports use of ARMS, as it is intended to supplement provider communication and intervention as an adjunctive and customizable tool with the ability to reach rural patients, not a stand-alone option. Themes of Accountability and Objective Assessment arose during discussions of why people would use the system. Themes within provider obstacles included, Information Overload and Clinical Relevance, and in patient obstacles, Sustained Engagement and Security Concerns. Two themes emerged regarding suggestions for improvement: Increasing Accessibility and Bi-directional Communication. DISCUSSION: Themes from provider input are being used to modify ARMS to make it more user friendly, time saving, and relevant to treatment of AUD. If successful, ARMS will provide effective, individualized-digital therapeutic for those needing adjunctive treatment or those living in rural remote areas needing better connected care.

The opioid use disorder core outcomes set (OUD-COS) for treatment research: findings from a Delphi consensus study.

BACKGROUND AND AIM: There is no gold-standard and considerable heterogeneity in outcome measures used to evaluate treatments for opioid use disorder (OUD) along the opioid treatment cascade. The aim of this study was to develop the US National Institute on Drug Abuse (NIDA) National Drug Abuse Treatment Clinical Trials Network (CTN) opioid use disorder core outcomes set (OUD-COS). DESIGN: Four-round, e-Delphi expert panel consensus study and plenary research group discussion and targeted consultation. SETTING: United States. PARTICIPANTS: A panel of 25 members including clinical practitioners, clinical researchers and administrative staff from the CTN, the network's affiliated clinical and community sites and the NIDA Centre for the CTN. MEASUREMENTS: From a pool of 24 candidate items in four domains (biomedical/disease status; behaviors, symptoms and functioning; opioid treatment cascade; and morbidity and mortality), the panel completed an on-line questionnaire to rank items with defined specification on a 9-point scale for importance, with a standard 70% consensus criterion. FINDINGS: After the fourth round of the questionnaire and subsequent discussion, consensus was reached for five outcomes: two patient-reported (global impression of improvement and incident non-fatal overdose); one clinician-reported (illicit/non-medical drug toxicology); and two from administrative records (duration of treatment and fatal opioid poisoning). CONCLUSIONS: An e-Delphi consensus study has produced the US National Institute on Drug Abuse (NIDA) National Drug Abuse Treatment Clinical Trials Network opioid use disorder core outcomes set (version 1) for opioid use disorder treatment efficacy and effectiveness research.

Sociodemographic and clinical profile of crack cocaine treatment-seeking individuals living in "Crackland", Brazil / Perfil sociodemográfico e clínico de indivíduos em busca de tratamento para o uso de crack que vivem na "Cracolândia"

OBJECTIVE: São Paulo's Crackland is the biggest and oldest open drug use scene in Brazil, yet little is known about the profile of crack cocaine treatment-seeking individuals living in this region. The aim of this crossectional study was to describe the demographics and clinical characteristics of treatment-seeking crack users living in the Crackland region. METHODS: A sample of nighty eight individuals were screened for DSM-V substance use disorders, including substance use, impulsiveness, and psychiatric symptoms. Recent crack cocaine use was also tested using biologic specimens. RESULTS: Results indicated severe social vulnerability, as participants experienced high rates of homelessness (46.9%), unstable housing (50%), unemployment (60.4%) and early school drop-out (27.5%). The average age of crack use onset was 20 years (SD = 6.9) and the mean duration of continuous crack use was 15 years (SD = 9.7). Most participants presented with concomitant mental health disorders, particularly alcohol use disorder (87.8%), as well high rates of psychiatric symptomatology and impulsiveness. More than half of the sample reported at least one previous inpatient (73.5%) and outpatient (65.3%) addiction treatment attempt. CONCLUSION: This population profile should inform mental healthcare services, promoting the provision of tailored assistance by targeting specific demands at all levels of treatment.

OBJETIVO: Localizada em São Paulo, a Cracolândia é o maior e mais antigo cenário aberto de uso de drogas do Brasil. Ainda assim, pouco se sabe sobre o perfil dos indivíduos que vivem nessa região e buscam tratamento para crack. O objetivo deste estudo transversal foi descrever características demográficas e clínicas de usuários de crack vivendo na região da Cracolândia que estão em busca de tratamento. MÉTODOS: Noventa e oito indivíduos foram avaliados para transtornos por uso de substâncias do DSM-V, padrão de uso de substâncias, impulsividade e sintomatologia psiquiátrica. O uso recente de crack também foi determinado por meio de coleta de amostras toxicológicas. RESULTADOS: Os resultados indicaram grave vulnerabilidade social, com significativas prevalências de falta de moradia (46,9%), moradia instável (50%), desemprego (60,4%) e abandono escolar precoce (27,5%). A idade média de início do uso de crack foi de 20 anos (DP = 6,9) e a duração média do uso contínuo do crack foi de 15 anos (DP = 9,7). A maioria dos participantes apresentou alguma comorbidade psiquiátrica, particularmente transtorno por uso de álcool (87,8%), bem como altas taxas de sintomatologia psiquiátrica e impulsividade. Mais da metade da amostra relatou pelo menos uma tentativa anterior de tratamento por internação (73,5%) e ambulatorial (65,3%). CONCLUSÃO: Os achados desse estudo permitem um maior entendimento do perfil e das necessidades de usuários de crack vivendo na região da Cracolândia e podem ajudar serviços de saúde especializados em dependência química a promoverem uma assistência mais direcionada às demandas específicas dessa população.

SARS-CoV-2 Remains Infectious on Refrigerated Deli Food, Meats, and Fresh Produce for up to 21 Days.

SARS-CoV-2, the virus that causes COVID-19, has been detected on foods and food packaging and the virus can infect oral cavity and intestinal cells, suggesting that infection could potentially occur following ingestion of virus-contaminated foods. To determine the relative risk of infection from different types of foods, we assessed survival of SARS-CoV-2 on refrigerated ready-to-eat deli items, fresh produce, and meats (including seafood). Deli items and meats with high protein, fat, and moisture maintained infectivity of SARS-CoV-2 for up to 21 days. However, processed meat, such as salami, and some fresh produce exhibited antiviral effects. SARS-CoV-2 also remained infectious in ground beef cooked rare or medium, but not well-done. Although infectious SARS-CoV-2 was inactivated on the foods over time, viral RNA was not degraded in similar trends, regardless of food type; thus, PCR-based assays for detection of pathogens on foods only indicate the presence of viral RNA, but do not correlate with presence or quantity of infectious virus. The survival and high recovery of SARS-CoV-2 on certain foods support the possibility that food contaminated with SARS-CoV-2 could potentially be a source of infection, highlighting the importance of proper food handling and cooking to inactivate any contaminating virus prior to consumption.