Application of an opioid use disorder cascade of care in a large public health system.

Background: Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time and can assist health systems in identifying areas of intervention to maximize the impact of evidence-based services. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using electronic health records.Objective: In this paper, we describe the process of operationalizing and applying the OUD Cascade in a large, urban, public hospital system.Methods: Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, lessons learned from compiling preliminary patient data and defining stages and outcome measures for the OUD Cascade of Care, and preliminary dataResults: We identified 33,616 (26.17% female) individuals with an OUD diagnosis. Almost half (48%) engaged with addiction services, while only 10.7% initiated medication-based treatment in an outpatient setting, 6.7% had timely follow-up, and 3.5% were retained for a minimum of 6 months.Conclusion: The current paper serves as a primer for other health systems seeking to implement data-informed approaches to guide more efficient care and improved substance use-related outcomes. An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design with an emphasis on early stages wherein drop-off is the greatest.

Outcomes of a NYC Public Hospital System Low-Threshold Tele-Buprenorphine Bridge Clinic at 1 Year.

Background: This study evaluated clinical outcomes of a low barrier tele-buprenorphine bridge program for NYC residents with opioid use disorder (OUD) at 1 year during the coronavirus disease 2019 (COVID-19) pandemic. Methods and materials: This retrospective analysis of the NYC Health + Hospitals (NYC H + H) Virtual Buprenorphine Clinic registry assessed baseline demographic and clinical characteristics, rates of referrals to community treatment, and induction-related adverse events among city residents with OUD, from March 2020 to the end of March 2021. Results: The program enrolled 199 patients, of whom 62.3% were provided same-day visits (n = 124). Patients were enrolled in the program for a median of 14 days (range 0-130 days). Referrals sources included hospital and clinic staff (n = 83, 47.7%), word of mouth (n = 30, 17.2%), and correctional health or reentry services (n = 30, 17.2%). Induction-related adverse events were mostly limited to precipitated withdrawal symptoms (n = 21, 5%). Roughly half of patients were referred to community treatment (n = 109, 54.8%) and of those 51.4% (n = 56/109) completed at least one visit in community treatment. Discussion: Our experience indicates that a low threshold tele-buprenorphine bridge program in place of a safe and feasible approach to facilitating entry in community treatment for underserved people who use opioids in a large metropolitan area.

Patterns of Current Cigarette Smoking, Quit Attempts and Cessation Counseling among Survivors of Smoking-Related and Nonsmoking-Related Urological Malignancies: A Nationally Representative Cross-Sectional Analysis.

PURPOSE: Cigarette smoking is the leading modifiable risk factor for several genitourinary malignancies. Although smoking cessation after genitourinary cancer diagnosis is a critical component of survivorship, factors related to continued smoking are under studied. MATERIALS AND METHODS: A cross-sectional analysis was conducted using data from the National Health Interview Survey (2014-2018). Our primary study outcome was the prevalence and correlates of cigarette smoking among adults with a history of smoking-related (kidney or bladder) urological cancer compared to a nonsmoking-related control (prostate cancer). We used regression analyses to assess the association of having a smoking-related genitourinary cancer history with continued cigarette smoking after diagnosis. Secondary outcomes were yearly smoking trends, quit attempts and reported receipt of smoking cessation counseling. RESULTS: A total of 2,664 respondents reported a history of genitourinary cancer, representing weighted estimates of 990,820 (smoking-related genitourinary cancer) and 2,616,596 (prostate cancer) adults. Survivors of smoking-related genitourinary cancers had a significantly higher overall prevalence of current cigarette use (14.8% vs 8.6%, p <0.001) and also reported more frequent receipt of counseling (79.8% vs 66.2%, p=0.02) but did not attempt to quit any more often than those with prostate cancer (52.4% vs 47.2%, p=0.44). Time trends demonstrated stable and persistent cigarette use among survivors of all genitourinary cancers. After adjustment for sociodemographic confounders, cancer type was not associated with current cigarette smoking (OR 1.23, 95% CI 0.86-1.77). However, older age and more advanced educational attainment were associated with lower odds of current cigarette smoking, while single marital status was associated with higher odds. CONCLUSIONS: In this population-based cross-sectional study of survivors of genitourinary cancers, those with a reported smoking-related genitourinary cancer had a higher prevalence of current cigarette smoking compared to those with prostate cancer, our nonsmoking-related control. Those with smoking-related genitourinary cancers reported more frequent receipt of smoking cessation counseling.

The Joint Effect of Childhood Abuse and Homelessness on Substance Use in Adulthood.

BACKGROUND: Childhood abuse and homelessness are independently associated with substance use. Though childhood abuse and homelessness are strongly correlated, research on the joint effect of exposure to both traumatic life events on substance use is limited. Objective: To estimate independent and joint effects of childhood abuse and homelessness on substance use risk during emerging adulthood and adulthood. Methods: Using the National Longitudinal Study of Adolescent to Adult Health (N = 12,288), we measured associations between exposure to physical or sexual abuse in childhood, homelessness in childhood or emerging adulthood, or exposure to both traumas and outcomes of binge drinking, marijuana use, cocaine use, methamphetamine use, and prescription opioid misuse during emerging adulthood (Wave III, ages 18-26 years) and adulthood (Wave IV, ages 24-32 years). Results: In adjusted analyses, exposure to childhood abuse alone, homelessness alone, and both childhood abuse and homelessness were significant correlates of most substance use indicators in emerging adulthood. Those jointly exposed to childhood abuse and homelessness had disproportionate risk of substance use, particularly use of cocaine (adjusted odds ratio (AOR)=4.25, 95% confidence interval (CI): 2.70, 6.71) and methamphetamine (AOR = 6.59, 95% CI: 3.87, 11.21). The independent and combined effects of abuse and homelessness generally persisted into adulthood though associations tended to weaken. Conclusions/Importance: Those with exposure to abuse, homelessness, and both adverse outcomes constitute a high-risk population for substance use. Addressing abuse and homelessness should be a component of preventing drug risk for screening, treatment, and prevention efforts.

Smoking patterns and preferences for technology assisted smoking cessation interventions among adults with opioid and alcohol use disorders.

BACKGROUND: Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder. METHODS: A 49-item semi-structured survey was conducted among urban, inpatient detoxification program patients eliciting demographic and clinical characteristics, smoking profile, technology use patterns, and preferences for adopting technology-based smoking cessation interventions. Multivariate logistic regression models further evaluated the association between participant demographic and clinical characteristics and technology preferences. RESULTS: Participants were mostly male (91%), and admitted for detoxification for alcohol (47%), heroin (31%), or both alcohol and heroin (22%). Past 30-day smoking was reported by 78% of the sample. Mobile phone ownership was common (89%); with an average past-year turnover of 3 mobile phones and 3 phone numbers. Computer ownership was low (28%) and one third reported daily internet use (34%). Telephone (41%) and text message-based interventions (40%) were the most popular platforms to facilitate smoking cessation. CONCLUSIONS: Despite concurrent AUD-OUD, most respondents had attempted to quit smoking in the last year and preferred telephone- and text message-based interventions to facilitate smoking cessation. High turnover of mobile phones, phone numbers, and limited access to computers pose barriers to dissemination of technology-based smoking cessation interventions in this vulnerable population.

Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System.

Background: Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time, and can assist health systems in identifying areas of intervention to prevent overdose and maximize the impact of evidence-based services for patients with OUD. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using their systems' electronic medical records (EMR). Objective: In this paper, we describe the process of operationalizing and implementing the OUD Cascade in one large, urban, public hospital system. Methods: Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, and lessons learned from compiling patient data and defining stages and outcome measures for the OUD Cascade of Care. The current established framework and process will set the stage for subsequent research studies that quantify and evaluate patient progression through each stage of OUD treatment across the health system and identify target areas for quality improvement initiatives to better engage patients in care and improve health outcomes. Results: The current paper can therefore serve as a primer for other health systems seeking to implement a data-informed approach to guide more efficient care and improved substance use-related outcomes. Conclusion: An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design.

How Physician Workforce Shortages Are Hampering the Response to the Opioid Crisis.

The United States is experiencing an unprecedented opioid crisis, with a record of about 93,000 opioid-involved overdose deaths in 2020, which requires rapid and substantial scaling up of access to effective treatment for opioid use disorder. Only 18% of individuals with opioid use disorder receive evidence-based treatment, and strategies to increase access are hindered by a lack of treatment providers. Using a case study from the largest municipal hospital system in the United States, the authors describe the effects of a workforce shortage on health system responses to the opioid crisis. This national problem demands a multipronged approach, including federal programs to grow and diversify the pipeline of addiction providers, medical education initiatives, and enhanced training and mentorship to increase the capacity of allied clinicians to treat patients who have an opioid use disorder. Workforce development should be combined with structural reforms for integrating addiction treatment into mainstream medical care and with new treatment models, including telehealth, which can lower patient barriers to accessing treatment.

Low Threshold Telemedicine-based Opioid Treatment for Criminal Justice Involved Adults During the COVID-19 Pandemic: A Case Report.

Criminal justice involved individuals have a high rate of opioid overdose death following release. In March 2020, New York City jails released over 1000 inmates due to concern of COVID-19 outbreaks in county jails. The closure of addiction treatment clinics further complicated efforts to expand access to medications for opioid use disorder among criminal justice involved adults. The New York City Health + Hospitals Virtual Buprenorphine Clinic established in March 2020 offered low-threshold telemedicine-based opioid treatment with buprenorphine-naloxone, specifically for criminal justice involved adults post-release. We describe a case report of the novel role of tele-conferencing for the provision of buprenorphine-naloxone for jail-released adults with opioid use disorder experiencing homelessness during the COVID-19 pandemic. The patient is a 49-year-old male with severe opioid use disorder released from New York City jail as part of its early release program. He then started using diverted buprenorphine-naloxone, and 1 month later a harm-reduction specialist at his temporary housing at a hotel referred him to an affiliated buprenorphine provider and then eventually to the New York City Health + Hospitals Virtual Buprenorphine Clinic, where he was continued on buprenorphine-naloxone, and was followed biweekly thereafter until being referred to an office-based opioid treatment program. For this patient, telemedicine-based opioid treatment offered a safe and feasible approach to accessing medication for opioid use disorder during the COVID-19 pandemic and following incarceration.

A Telemedicine Buprenorphine Clinic to Serve New York City: Initial Evaluation of the NYC Public Hospital System's Initiative to Expand Treatment Access During the COVID-19 Pandemic.

OBJECTIVES: The purpose of this study was to assess the feasibility and clinical impact of telemedicine-based opioid treatment with buprenorphine-naloxone following the Coronavirus disease 2019 pandemic. METHODS: Participants included in this retrospective analysis consisted of adult New York City residents with opioid use disorder eligible for enrollment in the NYC Health+Hospitals Virtual Buprenorphine Clinic between March and May 2020 (n = 78). Follow-up data were comprised of rates of retention in treatment at 2 months, referrals to community treatment, and induction-related events. RESULTS: During the initial 9 weeks of clinic operations, the clinic inducted 78 patients on to buprenorphine-naloxone and completed 252 visits. Patient referrals included non-NYC Health + Hospitals (n = 22, 28.2%) and NYC Health + Hospitals healthcare providers (n = 17, 21.8%), homeless shelter staff (n = 13, 16.7%), and the NYC Health + Hospitals jail reentry program in Rikers Island (n = 11, 14.1%). At 8 weeks, 42 patients remained in care (53.8%), 21 were referred to a community treatment program (26.9%), and 15 were lost to follow-up (19.2%). No patients were terminated from care due to disruptive behavior or suspicions of diversion or misuse of Buprenorphine. Adverse clinical outcomes were uncommon and included persistent withdrawal symptoms (n = 8, 4.3%) and one nonfatal opioid overdose (0.5%). CONCLUSIONS: Telemedicine-based opioid treatment and unobserved home induction on buprenorphine-naloxone offers a safe and feasible approach to expand the reach of opioid use disorder treatment, primary care, and behavioral health for a highly vulnerable urban population during an unprecedented natural disaster.

Patterns and associations of smoking and electronic cigarette use among survivors of tobacco related and non-tobacco related cancers: A nationally representative cross-sectional analysis.

BACKGROUND: Tobacco-use among cancer survivors leads to preventable morbidity, mortality, and increased healthcare costs. We sought to explore the prevalence of smoking and e-cigarette use among survivors of tobacco and non-tobacco related cancers. METHODS: A cross-sectional analysis was conducted using the 2015-2018 National Health Interview Survey. Our primary outcome was the prevalence of current cigarette smoking or e-cigarette use among adults with self-reported history of tobacco related or non-tobacco related cancer. Logistic regression analysis was to assess the association of reported cancer type with cigarette smoking or e-cigarette use. Secondary outcomes included yearly trends and dual use. RESULTS: A total of 12,984 respondents reported a history of cancer, representing a weighted estimate of 5,060,059 individuals with a history of tobacco-related malignancy and 17,583,788 with a history of a tobacco and non-tobacco related cancer, respectively. Survivors of tobacco-related cancers had a significantly higher prevalence of current cigarette use (18.2 % vs 9.7 %, P < 0.0001), e-cigarette use (2.7 % vs 1.6 %, P < 0.0001) and similar rates of dual use. The prevalence of cigarette smoking among all survivors increased as time increased from the year of diagnosis up to 2 years post-diagnosis (P = 0.047). Odds of reporting current cigarette smoking use was higher for survivors of tobacco-related cancers, adjusted for sociodemographic factors (OR1.69, 95 % CI 1.44-1.99). CONCLUSIONS: Survivors of tobacco-related cancers have a higher prevalence of current cigarette smoking and e-cigarette use compared to survivors of non-tobacco related cancers. There was a sequential increase in the prevalence of cigarette use during each subsequent year from the time of a new cancer diagnosis, underscoring the need for long term tobacco cessation support among newly diagnosed adults with cancer.

Perceptions of e-cigarette harm among cancer survivors: Findings from a nationally representative survey.

BACKGROUND: The growth in e-cigarette use may be driven by the perception that they are a safer, healthier alternative to conventional cigarettes. However, their long-term health implications are not well known and use is discouraged by most cancer societies. It is currently unclear how cancer survivors perceive the risks associated with e-cigarette and how this may influence use in this population. METHODS: A cross-sectional analysis was conducted using the Health Information National Trends Survey (HINTS) (Years 2017-2019). Our primary study outcome was the perception of harm associated with e-cigarettes compared to traditional cigarettes among adults with and without a self-reported history of cancer. We used logistic regression analyses assessing the association of a cancer history with the perception that e-cigarettes are as much or more harmful than cigarettes. RESULTS: A total of 11,846 respondents (weighted population estimate 243,728,483) were included. Of these, 26.6% reported a history of cancer. The proportion of cancer survivors who perceived e-cigarettes to be as much or more harmful than conventional cigarettes was similar to non-cancer respondents (70.6% vs 68.3%, P = 0.35). There was no difference in perception of harm among cancer and non-cancer respondents, adjusted for sociodemographic factors (OR 0.82, 95% CI 0.6-1.1). Past (OR 9.06, 95% Cl 5.06-16.20) and never e-cigarette use (OR 23.40, 95% Cl 13.56-40.38) as well as having a history of cardiopulmonary disease (OR 1.28, 95% Cl 1.05-1.56) was associated with higher odds of perceiving e-cigarettes to be as much or more harmful. CONCLUSION: Cancer survivors commonly perceive e-cigarettes to be as much or more harmful than traditional cigarettes though these findings are similar to perceptions among adults without a history of cancer. There is a strong association with avoidance of e-cigarette products among those who perceive them to be harmful.

Opioid Use Disorder Treatments: An Evidence Map.

BACKGROUND: Evidence maps are emerging data visualization of a systematic review. There are no published evidence maps summarizing opioid use disorder (OUD) interventions. AIM: Our aim was to publish an interactive summary of all peer-reviewed interventional and observational trials assessing the treatment of OUD and common clinical outcomes. METHODS: PubMed, Embase, PsycInfo, Cochrane Central Register of Clinical Trials, and Web of Science were queried using multiple OUD-related MESH terms, without date limitations, for English-language publications. Inclusions were human subjects, treatment of OUD, OUD patient or community-level outcomes, and systematic reviews of OUD interventions. Exclusions were laboratory studies, reviews, and case reports. Two reviewers independently scanned abstracts for inclusion before coding eligible full-text articles by pre-specified filters: research design, study population, study setting, intervention, outcomes, sample size, study duration, geographical region, and funding sources. RESULTS: The OUD Evidence Map (https://med.nyu.edu/research/lee-lab/research/opioid-use-disorder-treatment-evidence-map) identified and assessed 12,933 relevant abstracts through 2020. We excluded 9455 abstracts and full text reviewed 2839 manuscripts; 888 were excluded, 1591 were included in the final evidence map. The most studied OUD interventions were methadone (n = 754 studies), buprenorphine (n = 499), and naltrexone (n = 134). The most common outcomes were heroin/opioid use (n = 708), treatment retention (n = 557), and non-opioid drug use (n = 368). Clear gaps included a wider array of opioid agonists for treatment, digital behavioral interventions, studies of OUD treatments in criminal justice settings, and overdose as a clinical outcome. CONCLUSION: This OUD Evidence Map highlights the importance of pharmacologic interventions for OUD and reductions in opioid use. Future iterations will update results annually and scan policy-level interventions.

E-cigarette use and beliefs among adult smokers with substance use disorders.

BACKGROUND: We explored characteristics and beliefs associated with e-cigarette use patterns among cigarette smokers requiring inpatient detoxification for opioid and/or alcohol use disorder(s). METHODS: Adult cigarette smokers (≥18 years), admitted to inpatient detoxification for alcohol and/or opioid use disorder(s) in a safety-net tertiary referral center in New York City were surveyed in 2015 (n = 158). Descriptive statistics (proportions) were used to assess for demographic, clinical diagnosis, cigarette smoking patterns (exclusive and dual use of e-cigarettes). Chi-square, t-test statistics, and logistic regression models were used. RESULTS: Among our sample of combustible cigarette users, 13.9% (n = 22) reported dual use with electronic cigarettes. Dual use did not differ by demographic or clinical variables. Compared to exclusive smokers, dual users were more likely to have tried to quit in the past year (Adjusted Odds ratio = 8.59; CI: 2.58, 28.35; p < 0.001). Dual smokers had significantly higher mean ratings perceiving that e-cigarettes can help people quit smoking compared to exclusive smokers (M = 3.7, SD= ±1.4 vs. M = 2.7, SD= ±1.5, p = 0.002) respectively. Dual users also preferred e-cigarettes over nicotine patches /gum for quitting (M = 3.7, SD= ±1.7 vs. M = 2.6, SD= ±1.6, p = 0.005). CONCLUSIONS: E-cigarette use seems to be appealing to a small proportion of cigarette smokers with SUD. Although, dual smokers seem to use e-cigarettes for its cessation premise, they don't appear to be actively seeking to quit. E-cigarettes may offer a more effective method for harm reduction, further evaluation of incorporating it within smoking cessation protocols among patients in addiction treatment is needed.

Carcinogen Biomarkers in the Urine of Electronic Cigarette Users and Implications for the Development of Bladder Cancer: A Systematic Review.

CONTEXT: Use of electronic cigarettes (e-cigarettes) has rapidly increased despite unclear longitudinal health effects. Once thought to be a safer alternative to tobacco smoke, it is possible that e-cigarettes expose the user to similar carcinogenic byproducts during the vaping process. These toxicants are metabolized and excreted in the urine, and may have oncogenic implications for bladder urothelium. OBJECTIVE: To characterize and summarize known urinary carcinogenic biomarkers in e-cigarette users as they relate to the risk of developing bladder cancer. EVIDENCE ACQUISITION: A systematic literature search was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and included PubMed, Embase, Web of Science, and Cochrane Central Register of Controlled Trials (CENTRAL). Relevant articles published in peer-reviewed journals, through January 2019, that reported on urinary biomarkers in e-cigarettes users were included. Parent compounds and urinary biomarkers were classified according to the International Agency for Research on Cancer Monographs on the Evaluation of Carcinogenic Risks to Humans and cross referenced using the Collaborative on Health and the Environment, Toxicant and Disease Database to determine a link to bladder cancer, grouped by strength of evidence. EVIDENCE SYNTHESIS: Our initial search identified 1385 articles, 22 of which met final inclusion criteria and were included for analysis. In summation, these studies described 40 different parent compounds and four metals found in the urine of e-cigarette users. Since each parent compound can be metabolized several different ways, 63 unique toxicant or carcinogenic metabolite biomarkers were identified. Compared with nonuser controls, e-cigarette users had higher concentrations of urinary biomarkers of several carcinogenic compounds linked to bladder cancer. The majority of studies were limited by heterogeneous reporting and a dearth of control individuals who had never smoked. CONCLUSIONS: Biomarkers of carcinogens, several with a strong link to bladder cancer, are present in the urine of e-cigarette users. Long-term implications of urothelial exposure to these toxicants are unknown but concerning, given the similarities to tobacco smoke and its established relationship with bladder cancer. Further study on the urological safety of e-cigarettes is necessary. PATIENT SUMMARY: Our review shows that several carcinogens that have a known link to bladder cancer are present in the urine of electronic cigarette (e-cigarette) users. Further study on the urological safety of e-cigarettes is necessary.

Staying Connected In The COVID-19 Pandemic: Telehealth At The Largest Safety-Net System In The United States.

New York City Health + Hospitals is the largest safety-net health care delivery system in the United States. Before the coronavirus disease 2019 (COVID-19) pandemic, NYC Health + Hospitals served more than one million patients annually, including the most vulnerable New Yorkers, while billing fewer than five hundred telehealth visits monthly. Once the pandemic struck, we established a strategy to allow us to continue to serve our existing patients while treating the surge of new patients. Starting in March 2020, we were able to transform the system using virtual care platforms through which we conducted almost eighty-three thousand billable televisits in one month, as well as more than thirty thousand behavioral health encounters via telephone and video. Telehealth also enabled us to support patient-family communication, postdischarge follow-up, and palliative care for patients with COVID-19. Expanded Medicaid coverage and insurance reimbursement for telehealth played a pivotal role in this transformation. As we move to a new blend of virtual and in-person care, it is vital that the major regulatory and insurance changes undergirding our COVID-19 telehealth response be sustained to protect access for our most vulnerable patients.

Internalizing and externalizing factors on the pathway from adverse experiences in childhood to non-medical prescription opioid use in adulthood.

BACKGROUND: Research demonstrates strong associations between adverse childhood experiences (ACEs) and non-medical prescription opioid use (NMPO), but pathways are not understood, hindering prevention and treatment responses. METHODS: We assessed hypothesized mediators of the association between ACEs and NMPO in a nationally-representative U.S. SAMPLE: National Longitudinal Study of Adolescent to Adult Health data (N = 12,288) yielded an ordinal exposure comprising nine ACEs (neglect; emotional, physical, sexual abuse; parental incarceration and binge drinking; witnessed, threatened with, experienced violence) and a binary lifetime NMPO outcome. Nine potential mediators measured in adolescence and/or adulthood included depression, anxiety, suicidality, delinquency, impulsivity, and risk-taking. We estimated adjusted odds ratios (AOR) and 95% confidence intervals (CI) for sex-stratified associations of: ACEs and mediators; mediators and NMPO; and ACEs and NMPO adjusting for mediators individually and simultaneously. RESULTS: All associations of ACEs and mediators were statistically significant and similar by sex. All mediators had statistically significant associations with NMPO (except one depression measurement for each sex). Delinquency was strongly associated with ACEs and NMPO and was the strongest individual mediator. Every ACE increase was associated with increased NMPO odds of 32% for males and 27% for females. Adjusting for all mediators, odds of NMPO were attenuated partially for males [AOR = 1.18 (95% CI:1.07, 1.31)] and somewhat more for females [AOR = 1.11 (95% CI:1.00, 1.25)]. CONCLUSIONS: Internalizing and externalizing factors partially explained the pathway from ACEs to NMPO. Substance abuse may be more difficult to treat with co-occurring psychopathologies and maladaptive behaviors, highlighting the need to address trauma early in life.

National Study of Childhood Traumatic Events and Adolescent and Adult Criminal Justice Involvement Risk: Evaluating the Protective Role of Social Support From Mentors During Adolescence.

OBJECTIVE: With nearly 11 million people in the United States arrested in 2015, the need to identify antecedent risk factors driving criminal justice involvement (CJI) and possible mitigating factors is crucial. This study examines the relation between childhood trauma and CJI in adolescence and adulthood and assesses how this relation is moderated by mentoring during young adulthood. METHODS: The analysis included 3 waves of data-adolescents, young adults, and adults-collected from 1995 to 2008 from 12,288 adolescents who participated in the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study of adolescents in grades 7 to 12. Logistic regression was used to examine how having a close mentor in adolescence moderated the relation between criminal justice involvement and 9 childhood traumatic events: (1) neglect, (2) emotional abuse, (3) physical abuse, (4) sexual abuse, (5) parental incarceration, (6) parental binge drinking, (7) witnessed violence, (8) threatened with violence, and (9) experienced violence. RESULTS: Cumulative exposure to childhood trauma was associated with CJI in adolescence (adjusted odds ratios [AORs] ranging from 2.24 to 25.98) and adulthood (AOR range, 1.82-6.69), and parental incarceration was consistently one of the, if not the, most strongly associated with each form of CJI; the strength of these associations was weakened for those who reported a close mentor compared to those who did not. CONCLUSIONS: This study advances the literature regarding trauma and CJI, highlighting the role of social support and mentorship as protective factors for youth who experience childhood trauma. Interventions aimed at protecting vulnerable children from the harms of trauma should be the next priority.

Expanding treatment for opioid use disorder in publicly funded primary care clinics: Exploratory evaluation of the NYC health + hospitals buprenorphine ECHO program.

Project Extension for Community Healthcare Outcomes (Project ECHO) offers an innovative and low-cost approach to enhancing the management of complex conditions among primary care providers. The NYC Health + Hospitals Buprenorphine ECHO (H + H ECHO) program offers primary care providers (PCPs) training and support in managing opioid use disorder (OUD). This exploratory study assessed the feasibility of a 16-session video conferencing platform led by Addiction Medicine experts in improving addiction knowledge, perceived self-efficacy, and buprenorphine prescribing among PCPs located in 17 publicly-funded ambulatory care clinics. A pre- and post-training survey assessed changes in knowledge and self-efficacy. Buprenorphine prescribing patterns were also captured pre-post training. Training sessions consisted of a review of the agenda by the H + H ECHO hub team, 15-30 min didactic lectures led by specialists, followed by a patient case presentation. Participants attended an average of 9 lectures (range, 1-15 sessions) and 53% of trainees attended at least 10 of the 16 sessions. Perceived self-efficacy improved post-H + H ECHO (73.2%) versus pre-training survey results (58.1%). There were minimal increases in knowledge post-training (58.4%) versus pre-training (51.4%). Only three additional providers reported prescribing Buprenorphine post-training (n = 10) versus pre-training (n = 7). Suggestions for improving H + H ECHO included trainings addressing stigma, administrative support, improved referrals to office-based opioid treatment (OBOT), integration of non-physician staff (i.e., case management, social work), and combining multimodal learning strategies (i.e., podcasts, web-based modules) with videoconferencing. This study demonstrates the feasibility of H + H ECHO among PCPs in publicly-funded clinics and improvements in self-efficacy. Studies are needed to identify alternative strategies to improve knowledge and prescribing of buprenorphine post-H + H ECHO.