A Scoping Review of Associations Between Cannabis Use and Anxiety in Adolescents and Young Adults.

Cannabis and anxiety are both rising issues that impact young people. This review seeks to explore the association between anxiety and cannabis in adolescents and young adults (AYA). A database search was run retrospectively from July 2020 through calendar year 2013. Articles had to present outcomes examining cannabis use and symptoms of anxiety, be written in English, contain samples with ≥ 50% who are age 25 or younger, and be published in a peer-reviewed journal. Forty-seven studies were identified that examined the relationship between anxiety and cannabis use. Twenty-three studies found a positive association that greater anxiety among AYA was associated with greater cannabis use. In contrast, seven studies found a negative association that greater anxiety was related to less cannabis use. And finally, 17 studies found no clear association between anxiety and cannabis use. Further research is needed to better understand the relationship between anxiety and cannabis use.

An Implementation of a Community-Engaged, Group-Level Mental Health Pilot for Black and Latina Transgender Women.

The primary aim is to assess the implementation of an eight-session, group therapy pilot for Black and Latina transgender women in Chicago in terms of implementation outcomes regarding intervention effectiveness, acceptability, appropriateness, and feasibility. The Exploration Preparation Implementation Sustainment (EPIS) framework guided implementation processes, including community engagement as an implementation strategy, and an implementation taxonomy was used to evaluate outcomes of acceptability, appropriateness, and feasibility, in addition to intervention effectiveness regarding anxiety and community connectedness. Two rounds of the pilot were completed in 2020, during the COVID-19 pandemic, at a community-based organization serving LGBTQ+ (lesbian, gay, bisexual, transgender, queer/questioning) youth on Chicago's West Side. Participants (N = 14) completed a baseline and postintervention assessment and evaluations after each of eight intervention modules. Descriptive statistics show improvement across measures of anxiety and community connectedness, and high mean scores across domains of acceptability, appropriateness, and feasibility. Pilot findings indicate intervention effectiveness, acceptability, appropriateness, and feasibility to address mental health and social support of Black and Latina transgender women. Additional resources are needed for transgender community-engaged mental health programs and research to establish core and adaptable intervention elements, scaled-up evidence for clinical effectiveness, and, most importantly, to improve mental health outcomes and the sustainability of such interventions.

Biopsychosocial Model of Traumatic Stress Symptoms in Women Experiencing Homelessness: A Qualitative Descriptive Study.

Trauma is nearly ubiquitous among women experiencing homelessness (WEH). WEH develop post-traumatic stress disorder (PTSD) at rates far exceeding the general population. The consequences of untreated PTSD can cascade, exacerbating existing physical, mental, and social health inequities, placing this population at risk for disproportionate biopsychosocial health adversity. Despite the outsized impact of PTSD, WEH are less likely to access or receive appropriate trauma-focused services. Understanding the unique and intersecting factors that contribute to the disproportionate PTSD toll on WEH may elucidate risk and protective factors, as well as possible intervention pathways to address the disparate trauma burden. This study employed a qualitative descriptive approach to develop understanding of the determinants of trauma risk, exposure, and outcomes among WEH. Semi-structured interviews were completed with 10 WEH, six shelter staff, four mental health professionals. Six deductively biopsychosocial model-derived themes were identified, alongside supporting categories. Themes/categories highlighted the role of biological, psychological, and socio-environmental determinants in shaping risk for and actualization of traumatic events and adverse outcomes. Trauma played an outsized role in shaping the health of WEH participants in this study, and the need for and interest in tailored trauma screening, treatment, psychoeducation options was highlighted. Recursive relationships between biopsychosocial determinants and trauma impact were identified. Participants emphasized population tailored trauma-focused interventions, specifically brief co-designed and community partner implemented interventions that address substance use behaviors, while leveraging the strengths of WEH. Addressing the marked trauma burden in WEH shows promise in promoting measurable biopsychosocial health improvements in this resilient yet overlooked population.

Treating posttraumatic stress disorder at home in a single week using 1-week virtual massed cognitive processing therapy.

Posttraumatic stress disorder (PTSD) treatments are increasingly delivered in massed formats and have shown comparable results to standard, weekly treatment. To date, massed cognitive processing therapy (CPT), delivered daily, has been delivered primarily in combination with adjunctive services and among veteran populations, but it has not been rigorously evaluated as a standalone intervention. The present study evaluated 1-week massed CPT delivered virtually (i.e., via telehealth) to a community sample of trauma-exposed individuals (N = 24). Using a single-arm open-label design, participants received CPT twice per day for 5 days. The results indicated that most participants completed treatment (n = 23, 95.8%), and no adverse events were reported. Participants exhibited large reductions in clinician-rated, d = 2.01, and self-reported PTSD symptoms, d = 2.55, as well as self-reported depressive symptoms, d = 1.46. On average, participants reported a 5-point PTSD symptom reduction and 1-point reduction in depressive symptoms for each treatment day. Reductions in PTSD and depressive symptoms were maintained at 3-month follow-up. Overall, 1-week massed CPT delivered virtually was shown to be feasible and to result in rapid symptom reductions that were sustained over time. Virtual massed CPT has the potential to increase access to effective treatments and help trauma survivors restore aspects of their lives in short amounts of time.

Rates and correlates of well-being among youth experiencing homelessness.

Mental health concerns have been well studied among youth experiencing homelessness, yet few studies have explored factors that contribute to well-being in this population. The current cross-sectional study examined rates and correlates of well-being among youth experiencing homelessness. This is a descriptive, secondary analysis of the baseline data from a clinical intervention study. Ninety-nine youth (aged 16-25) who were experiencing homelessness were recruited in Chicago. Approximately 40% of the sample reported average or above average well-being relative to existing benchmarks. Having medical insurance, a mobile phone, and a history of more severe childhood trauma were unique cross-sectional predictors of worse well-being (all ps < 0.034). A significant portion of our sample experienced well-being. Having access to certain resources may be counterintuitive indicators of poorer well-being among youth experiencing homelessness, perhaps because they are indicators of greater need or increased social comparison among these youth.

Examining Insomnia During Intensive Treatment for Veterans with Posttraumatic Stress Disorder: Does it Improve and Does it Predict Treatment Outcomes?

Previous research has demonstrated that sleep disturbances show little improvement with evidence-based psychotherapy for posttraumatic stress disorder (PTSD); however, sleep improvements are associated with PTSD treatment outcomes. The goal of the current study was to evaluate changes in self-reported insomnia symptoms and the association between insomnia symptoms and treatment outcome during a 3-week intensive treatment program (ITP) for veterans with PTSD that integrated cognitive processing therapy (CPT), mindfulness, yoga, and other ancillary services. As part of standard clinical procedures, veterans (N = 165) completed self-report assessments of insomnia symptoms at pre- and posttreatment as well as self-report assessments of PTSD and depression symptoms approximately every other day during treatment. Most veterans reported at least moderate difficulties with insomnia at both pretreatment (83.0%-95.1%) and posttreatment (69.1-71.3%). Statistically significant reductions in self-reported insomnia severity occurred from pretreatment to posttreatment; however, the effect size was small, d = 0.33. Longitudinal mixed-effects models showed a significant interactive effect of Changes in Insomnia × Time in predicting PTSD and depression symptoms, indicating that patients with more improvements in insomnia had more positive treatment outcomes. These findings suggest that many veterans continued to struggle with sleep disruption after a 3-week ITP, and successful efforts to improve sleep could lead to better PTSD treatment outcomes. Further research is needed to establish how adjunctive sleep interventions can be used to maximize both sleep and PTSD outcomes.

Assessing and treating complex mental health needs among homeless youth in a shelter-based clinic.

BACKGROUND: Rates of homelessness have been increasing in recent years, thereby necessitating a more direct approach to treating this complex social problem. Homeless youth have disproportionately high rates of untreated mental health problems and are therefore particularly vulnerable to the effects of homelessness during the transition period from adolescence to adulthood. METHODS: The study team developed a shelter-based clinic and collected clinical measures on youth who attended this clinic from October 2016 through June 2018. RESULTS: Youth attended an average number of three sessions, but there was a significant drop in follow-up after the first (intake) appointment. Depression, anger, and adjustment disorder emerged as the most common presenting mental health concerns identified by clinicians in the intake appointment, and trauma was identified as a significant complaint for those youth who returned for a second session. CONCLUSION: Mental health care is needed in this population, but future studies should explore alternative approaches to retaining homeless youth in treatment and in designing targeted trauma-informed interventions.

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at ensuring perfect PHI removal. As an alternative to relying on de-identification systems, we propose the following solutions: (1) Mapping the corpus of documents to standardized medical vocabulary (concept unique identifier [CUI] codes mapped from the Unified Medical Language System) thus eliminating PHI as inputs to a machine learning model; and (2) training character-based machine learning models that obviate the need for a dictionary containing input words/n-grams. We aim to test the performance of models with and without PHI in a use-case for an opioid misuse classifier. METHODS: An observational cohort sampled from adult hospital inpatient encounters at a health system between 2007 and 2017. A case-control stratified sampling (n = 1000) was performed to build an annotated dataset for a reference standard of cases and non-cases of opioid misuse. Models for training and testing included CUI codes, character-based, and n-gram features. Models applied were machine learning with neural network and logistic regression as well as expert consensus with a rule-based model for opioid misuse. The area under the receiver operating characteristic curves (AUROC) were compared between models for discrimination. The Hosmer-Lemeshow test and visual plots measured model fit and calibration. RESULTS: Machine learning models with CUI codes performed similarly to n-gram models with PHI. The top performing models with AUROCs > 0.90 included CUI codes as inputs to a convolutional neural network, max pooling network, and logistic regression model. The top calibrated models with the best model fit were the CUI-based convolutional neural network and max pooling network. The top weighted CUI codes in logistic regression has the related terms 'Heroin' and 'Victim of abuse'. CONCLUSIONS: We demonstrate good test characteristics for an opioid misuse computable phenotype that is void of any PHI and performs similarly to models that use PHI. Herein we share a PHI-free, trained opioid misuse classifier for other researchers and health systems to use and benchmark to overcome privacy and security concerns.

A Case Report of Cognitive Processing Therapy Delivered over a Single Week.

Although evidence-based treatments for posttraumatic stress disorder (PTSD), such as Cognitive Processing Therapy (CPT), have been developed and widely disseminated, the rate of veterans engaging in and completing these therapies is low. Alternative methods of delivery may be needed to help overcome key barriers to treatment. Delivering evidence-based therapies intensively may address practical barriers to treatment attendance as well as problems with avoidance. This report details the case of a combat veteran who received 10 sessions of Cognitive Processing Therapy delivered twice per day over a single, five-day work week (CPT-5). Post-treatment, the veteran reported large and clinically meaningful decreases in PTSD and depression symptom severity as well as in guilt cognitions, which is a purported mechanism of successful treatment. These effects persisted six weeks after treatment ended. Despite the intensive nature of the treatment, the veteran found CPT-5 tolerable and could cite many benefits to completing therapy in one work week. In conclusion, CPT-5 holds promise as a way to efficiently deliver an evidence-based therapy that is both clinically effective and acceptable to patients, although more rigorous clinical trials are needed to test this treatment delivery format.

Evaluating patterns and predictors of symptom change during a three-week intensive outpatient treatment for veterans with PTSD.

BACKGROUND: Intensive delivery of evidence-based treatment for posttraumatic stress disorder (PTSD) is becoming increasingly popular for overcoming barriers to treatment for veterans. Understanding how and for whom these intensive treatments work is critical for optimizing their dissemination. The goals of the current study were to evaluate patterns of PTSD and depression symptom change over the course of a 3-week cohort-based intensive outpatient program (IOP) for veterans with PTSD, examine changes in posttraumatic cognitions as a predictor of treatment response, and determine whether patterns of treatment outcome or predictors of treatment outcome differed by sex and cohort type (combat versus military sexual trauma [MST]). METHOD: One-hundred ninety-one veterans (19 cohorts: 12 combat-PTSD cohorts, 7 MST-PTSD cohorts) completed a 3-week intensive outpatient program for PTSD comprised of daily group and individual Cognitive Processing Therapy (CPT), mindfulness, yoga, and psychoeducation. Measures of PTSD symptoms, depression symptoms, and posttraumatic cognitions were collected before the intervention, after the intervention, and approximately every other day during the intervention. RESULTS: Pre-post analyses for completers (N = 176; 92.1% of sample) revealed large reductions in PTSD (d = 1.12 for past month symptoms and d = 1.40 for past week symptoms) and depression symptoms (d = 1.04 for past 2 weeks). Combat cohorts saw a greater reduction in PTSD symptoms over time relative to MST cohorts. Reduction in posttraumatic cognitions over time significantly predicted decreases in PTSD and depression symptom scores, which remained robust to adjustment for autocorrelation. CONCLUSION: Intensive treatment programs are a promising approach for delivering evidence-based interventions to produce rapid treatment response and high rates of retention. Reductions in posttraumatic cognitions appear to be an important predictor of response to intensive treatment. Further research is needed to explore differences in intensive treatment response for veterans with combat exposure versus MST.

Early Life Stress and Childhood Aggression: Mediating and Moderating Effects of Child Callousness and Stress Reactivity.

Early life stress (ELS) has been implicated in the development of aggression, though the exact mechanisms remain unknown. This study tested associations between ELS, callousness, and stress reactivity in the prediction of school-age and persistent early childhood aggression. A longitudinal sample of 185 mother-child dyads completed a lab visit and mothers completed an online follow-up when children were preschool-aged and school-aged, respectively. Physiological and behavioral measures of stress reactivity were collected during the preschool period. Ratings of child aggressive behavior, ELS, and callousness were collected as well. The results suggested that ELS was related to measures of both school-age and persistent early childhood aggression, and that callousness had a mediating role in this process. Cortisol reactivity also moderated the association between ELS and persistent childhood aggression, such that the ELS-aggression relationship was stronger among children who had higher levels of cortisol reactivity during the preschool period. Clinical implications are discussed.

Correction to: Early Life Stress and Childhood Aggression: Mediating and Moderating Effects of Child Callousness and Stress Reactivity.

The article "Early Life Stress and Childhood Aggression: Mediating and Moderating Effects of Child Callousness and Stress Reactivity", written by Dominika A. Winiarski, Melissa L. Engel, Niranjan S. Karnik and Patricia A. Brennan, was originally published electronically on the publisher's internet portal (https://link.springer.com/article/10.1007/s10578-018-0785-9) on 13 February 2018 without open access.

Examining the Relationship Between Parent and Child Psychopathology in Treatment-Seeking Veterans.

This study aimed to examine: (1) the relationship between parental psychopathology and child psychopathology in military families and (2) parenting sense of competence as a mediator of the relationship between veteran psychopathology and child psychopathology. As part of their standard clinical evaluations, 215 treatment-seeking veterans who reported having a child between the ages of 4 and 17 were assessed for psychopathology (posttraumatic stress disorder, depression, anxiety, and stress), their sense of competence as a parent, and their child's psychopathology (internalizing, externalizing, and attentional symptoms). A path analysis model examining parenting sense of competence as a mediator of the relationship between veteran psychopathology and child psychopathology showed significant indirect effects of veteran depression on all child psychopathology outcomes via parenting sense of competence. Parental sense of competence may be a critical mechanism linking veteran depression and child psychopathology, and may therefore be an important target for intervention.

Negative Posttrauma Cognitions Mediate the Association Between Morally Injurious Events and Trauma-Related Psychopathology in Treatment-Seeking Veterans.

Exposure to potentially morally injurious events has been shown to be associated with posttraumatic stress disorder (PTSD) and depression symptoms in military personnel. Few studies have examined factors that help to explain how potentially morally injurious events may contribute to the development of trauma-related psychopathology. Negative posttrauma cognitions are thought to play a role in the etiology of PTSD and depression following trauma; however, it is unclear whether more global beliefs about the self, others, and world play a role in the development of PTSD and depression due to morally injurious events. Using structural equation modeling, we tested whether morally injurious experiences were indirectly related to trauma-related psychopathology (PTSD and depression) through negative posttrauma cognitions in a sample of veterans seeking treatment for PTSD. An indirect effects only model best fit the data and showed that morally injurious experiences, specifically perceived transgressions by oneself and perceived betrayal, were indirectly associated with trauma-related psychopathology through negative posttrauma cognitions, ß = .17; 95% CI [.04, .31] and ß = .25; 95% CI [.11, .41], respectively. Our findings suggest that negative posttrauma cognitions may be an important mechanism linking exposure to morally injurious events and trauma-related psychopathology.

Performance of International Classification of Disease-10 codes in detecting emergency department patients with opioid misuse.

BACKGROUND AND AIMS: Accurate case discovery is critical for disease surveillance, resource allocation and research. International Classification of Disease (ICD) diagnosis codes are commonly used for this purpose. We aimed to determine the sensitivity, specificity and positive predictive value (PPV) of ICD-10 codes for opioid misuse case discovery in the emergency department (ED) setting. DESIGN AND SETTING: Retrospective cohort study of ED encounters from January 2018 to December 2020 at an urban academic hospital in the United States. A sample of ED encounters enriched for opioid misuse was developed by oversampling ED encounters with positive urine opiate screens or pre-existing opioid-related diagnosis codes in addition to other opioid misuse risk factors. CASES: A total of 1200 randomly selected encounters were annotated by research staff for the presence of opioid misuse within health record documentation using a 5-point scale for likelihood of opioid misuse and dichotomized into cohorts of opioid misuse and no opioid misuse. MEASUREMENTS: Using manual annotation as ground truth, the sensitivity and specificity of ICD-10 codes entered during the encounter were determined with PPV adjusted for oversampled data. Metrics were also determined by disposition subgroup: discharged home or admitted. FINDINGS: There were 541 encounters annotated as opioid misuse and 617 with no opioid misuse. The majority were males (54.4%), average age was 47 years and 68.5% were discharged directly from the ED. The sensitivity of ICD-10 codes was 0.56 (95% confidence interval [CI], 0.51-0.60), specificity 0.99 (95% CI, 0.97-0.99) and adjusted PPV 0.78 (95% CI, 0.65-0.92). The sensitivity was higher for patients discharged from the ED (0.65; 95% CI, 0.60-0.69) than those admitted (0.31; 95% CI, 0.24-0.39). CONCLUSIONS: International Classification of Disease-10 codes appear to have low sensitivity but high specificity and positive predictive value in detecting opioid misuse among emergency department patients in the United States.

Mental Telehealth Utilization Patterns Among High School Students from Racial and Ethnic Minority Backgrounds Affected by Violence and Substance Use.

BACKGROUND: Recent data show high school students from racial and ethnic minority (REM) backgrounds in the United States confront a twofold challenge, marked by the highest rates of firearm-related homicides since 1994 and increased youth substance use. The pandemic increased online and telehealth usage opportunities for at-risk REM youth. Therefore, this study investigated (1) the frequency and prevalence of co-occurring youth violence and substance use among REM adolescents, (2) racial/ethnic, age, and natal sex (as gender data was not collected) differences in patterns and trends in co-occurring youth violence and substance use among REM adolescents, and (3) the relationship between these syndemic issues and REM adolescent mental telehealth use during the pandemic. METHODS: Data was sourced from a nationally representative sample of U.S. 9th-12th students (n = 3241) who completed the CDC's 2021 Adolescent and Behavioral Experiences Survey (ABES). Using univariate (frequency distribution), bivariate (Pearson's chi-squared test), and multivariate logistic regression models, we examined seven violence victimization outcomes, four violence perpetration outcomes, two family violence outcomes, and six substance use outcomes and their associations with telehealth use for mental health (dependent variable) among REM adolescents. RESULTS: This sample was primarily female (50.7%), Black or African American (48.3%), Hispanic or Latinx (20.6%), and identified as straight or heterosexual (69.5%). The study found significant sex-based differences in violence perpetration/victimization, substance use, and telehealth use for mental health. In general, mental telehealth use was significantly associated with substance use among REM adolescents (cigarette smoking, vaping, alcohol, marijuana, prescription meds, and illicit drug use) (p-value = .001). Mental telehealth use was also significantly associated with all peer and family violence outcomes (p < 0.001). Controlling for covariates, gun carrying was associated with 4.8 times higher odds of using mental telehealth. Students in a physical fight or carrying a weapon (gun, knife, or club) on school property had 2.45 times and 8.09 times the odds of utilizing mental telehealth. Bullied students were 2.5 times more likely to use mental telehealth (p-value < 0.05). Illicit drug use (cocaine, heroin, methamphetamines, and ecstasy) was associated with a higher likelihood of mental telehealth use (AOR = 1.3, p-value = .05). CONCLUSION: Our results suggest crucial insights for shaping violence and substance use prevention strategies, with implications for the future of online and telehealth behavioral services. Mental telehealth help-seeking emerges as a crucial avenue for supporting adolescents affected by violence and substance use, especially when they face obstacles to accessing traditional services. It can work in tandem with in-person services to address these challenges.

Editorial: Pandemics Interact With and Amplify Child Mental Health Disparities: Further Lessons From COVID-19.

Infectious diseases change our world. It is a simple understanding that history has consistently shown but it is a set of lessons that are routinely forgotten. From cholera1 to smallpox,2 pandemics amplify and run along societal fractures that form in the context of disparities. As of early September 2023, COVID-19 had caused nearly 7 million deaths worldwide, and there have been over 1.1 million deaths in the United States.3 The scale of this impact on children and families is only beginning to become clear.

Ethical considerations for developing pediatric mhealth interventions for teens with socially complex needs.

TOPIC: Mobile Health (mHealth) stands as a potential means to better reach, assess, and intervene with teens with socially complex needs. These youth often face overlapping adversities including medical illness and a history of experiencing adverse childhood experiences (ACEs). Clinicians are faced with navigating ethical decisions when developing mHealth tools for teens who have socially complex needs. Many tools have been developed for adults from the general population. However, despite the development of thousands of mHealth interventions, developers tend to focus on designing for usability, engagement, and efficacy, with less attention on the ethical considerations of making such tools. PURPOSE: To safely move mHealth interventions from research into clinical practice, ethical standards must be met during the design phase. In this paper we adapt the Four Box Model (i.e., medical indications, preferences of patients, quality of life, and contextual features) to guide mHealth developers through ethical considerations when designing mHealth interventions for teens who present with a medical diagnosis and a history of ACEs. SOURCES: A review of language, inclusive features, data sharing, and usability is presented using both the Four Box Model and potential scenarios to guide each consideration. CONCLUSIONS: To better support designers of mHealth tools we present a framework for evaluating applications to determine overlap with ethical design and are well suited for use in clinical practice with underserved pediatric patients.

A Technology-Enhanced Intervention for Violence and Substance Use Prevention Among Young Black Men: Protocol for Adaptation and Pilot Testing.

BACKGROUND: Black boys and men from disinvested communities are disproportionately survivors and perpetrators of youth violence. Those presenting to emergency departments with firearm-related injuries also report recent substance use. However, young Black men face several critical individual and systemic barriers to accessing trauma-focused prevention programs. These barriers contribute to service avoidance, the exacerbation of violence recidivism, substance use relapse, and a revolving-door approach to prevention. In addition, young Black men are known to be digital natives. Therefore, technology-enhanced interventions offer a pragmatic and promising opportunity to mitigate these barriers, provide vital life skills for self-led behavior change, and boost service engagement with vital community resources. OBJECTIVE: The study aims to systematically adapt and pilot-test Boosting Violence-Related Outcomes Using Technology for Empowerment, Risk Reduction, and Life Skills Preparation in Youth Based on Acceptance and Commitment Therapy (BrotherlyACT), a culturally congruent, trauma-focused digital psychoeducational and service-engagement tool tailored to young Black men aged 15-24 years. BrotherlyACT will incorporate microlearning modules, interactive safety planning tools for risk assessment, goal-setting, mindfulness practice, and a service-engagement conversational agent or chatbot to connect young Black men to relevant services. METHODS: The development of BrotherlyACT will occur in 3 phases. In phase 1, we will qualitatively investigate barriers and facilitators influencing young Black men's willingness to use violence and substance use prevention services with 15-30 young Black men (aged 15-24 years) who report perpetrating violence and substance use in the past year and 10 service providers (aged >18 years; any gender; including health care providers, street outreach workers, social workers, violence interrupters, community advocates, and school staff). Both groups will be recruited from community and pediatric emergency settings. In phase 2, a steering group of topic experts (n=3-5) and a youth and community advisory board comprising young Black men (n=8-12) and service providers (n=5-10) will be involved in participatory design, alpha testing, and beta testing sessions to develop, refine, and adapt BrotherlyACT based on an existing skills-based program (Achieving Change Through Values-Based Behavior). We will use user-centered design principles and the Assessment, Decision, Administration, Production, Topical, Experts, Integration, Training, and Testing framework to guide this adaptation process (phase 2). In phase 3, a total of 60 young Black men will pilot-test the adapted BrotherlyACT over 10 weeks in a single-group, pretest-posttest design to determine its feasibility and implementation outcomes. RESULTS: Phase 1 data collection began in September 2021. Phases 2 and 3 are scheduled to start in June 2023 and end in September 2024. CONCLUSIONS: The development and testing of BrotherlyACT is a crucial first step in expanding an evidence-based psychoeducational and service-mediating intervention for young Black men involved in violence. This colocation of services shifts the current prevention strategy from telling them why to change to teaching them how. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/43842.