Faculty Bibliography

INTRODUCTION AND AIMS/OBJECTIVE:This article examines the feasibility of leveraging Twitter to detect posts authored by people who use opioids (PWUO) or content related to opioid use disorder (OUD), and manually develop a multidimensional taxonomy of relevant tweets. DESIGN AND METHODS/METHODS:Twitter messages were collected between June and October 2017 (n = 23 827) and evaluated using an inductive coding approach. Content was then manually classified into two axes (n = 17 420): (i) user experience regarding accessing, using, or recovery from illicit opioids; and (ii) content categories (e.g. policies, medical information, jokes/sarcasm). RESULTS:The most prevalent categories consisted of jokes or sarcastic comments pertaining to OUD, PWUOs or hypothetically using illicit opioids (63%), informational content about treatments for OUD, overdose prevention or accessing self-help groups (20%), and commentary about government opioid policy or news related to opioids (17%). Posts by PWUOs centered on identifying illicit sources for procuring opioids (i.e. online, drug dealers; 49%), symptoms and/or strategies to quell opioid withdrawal symptoms (21%), and combining illicit opioid use with other substances, such as cocaine or benzodiazepines (17%). State and public health experts infrequently posted content pertaining to OUD (1%). DISCUSSION AND CONCLUSIONS/CONCLUSIONS:Twitter offers a feasible approach to identify PWUO. Further research is needed to evaluate the efficacy of Twitter to disseminate evidence-based content and facilitate linkage to treatment and harm reduction services.

Background/UNASSIGNED:Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder. Methods/UNASSIGNED: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/UNASSIGNED: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/UNASSIGNED: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.

BACKGROUND:Engagement in the HIV care continuum combined with office-based opioid treatment remains a cornerstone in addressing the intertwined epidemics of opioid use disorder (OUD) and HIV/AIDS. Factors influencing patient engagement with OUD and HIV care are complex and require further study. METHODS:In this qualitative study, in-depth interviews were conducted among 23 adult patients who use drugs (PWUD) in an inpatient detoxification program in New York City. The semi-structured interview guide elicited participant experiences with various phases of the HIV care continuum, including factors influencing access to HIV care, interactions with HIV and primary care providers, preferences around integrated care approaches for OUD and HIV, and barriers experienced beyond clinical settings which affected access to HIV care (e.g., insurance issues, transportation, cost, retrieving prescriptions from their pharmacy). Data collection and thematic analysis took place concurrently using an iterative process-based established qualitative research method. RESULTS:Respondents elicited high acceptability for integrated or co-located care for HIV and OUD in primary care. Factors influencing engagement in HIV care included (1) access to rapid point-of-care HIV testing and counseling services, (2) insurance coverage and costs related to HIV testing and receipt of antiretroviral therapy (ART), (3) primary care providers offering HIV care and buprenorphine, (4) illicit ART sales to pharmacies, (5) disruption in supplies of ART following admissions to inpatient detoxification or residential treatment programs, (6) in-person and telephone contact with peer support networks and clinic staff, (7) stigma, and (8) access to administrative support in primary care to facilitate reengagement with care following relapse, behavioral health services, transportation vouchers, and relocation from subsidized housing exposing patients to actively using peers. CONCLUSION/CONCLUSIONS:These findings suggest expanding clinical and administrative support in primary care for PWUDs with patient navigators, case managers, mobile health interventions, and peer support networks to promote linkage and retention in care.

BACKGROUND:Few studies have documented patient attitudes and experiences with extended-release naltrexone (XR-NTX) opioid relapse prevention in criminal justice settings. This study assessed barriers and facilitators of jail-to-community reentry among adults with opioid use disorder (OUD) treated with XR-NTX, buprenorphine, methadone, and no medications. METHODS:This qualitative study conducted individual interviews with a purposeful and convenience sample of adults with OUD who were recently released from NYC jails. XR-NTX, no medication, and methadone participants were concurrently enrolled in a large randomized controlled trial evaluating XR-NTX vs. a no medication Enhanced Treatment As Usual (ETAU) condition, or enrolled in a non-randomized quasi-experimental methadone maintenance cohort. Buprenorphine participants were referred from NYC jails to a public hospital office-based buprenorphine program and not enrolled in the parent trial. Interviews were audio recorded, transcribed, independently coded by two researchers, and analyzed per a grounded theory approach adapted to the Social Cognitive Theory framework. The research team reviewed transcripts and coding to reach consensus on emergent themes. RESULTS:N = 33 adults with OUD (28 male, 5 female) completed a single individual interview. Purposeful sampling recruited persons leaving jail on XR-NTX (n = 11), no active medication treatment (n = 9), methadone (n = 9), and buprenorphine (n = 4). Emergent themes were: (1) general satisfaction with XR-NTX's long-acting antagonist effects and control of cravings; (2) "testing" XR-NTX's blockade with heroin upon reentry was common; (3) early discontinuation of XR-NTX treatment was most common among persons with high self-efficacy and/or heavy exposure to drug use environments and peers; (4) similar satisfaction regarding effects of methadone and buprenorphine maintenance among retained-in-treatment individuals, alongside general dissatisfaction with daily observed dosing requirements and misinformation and stigmas regarding methadone adverse effects; (5) unstable housing, economic insecurity, and exposure to actively using peers were attributed to early termination of treatment and relapse; (6) individual motivation and willpower as central to long-term opioid abstinence and reentry success. CONCLUSIONS:In the context of more familiar agonist maintenance treatments, XR-NTX relapse prevention during jail-to-community reentry was viewed as a helpful and unique intervention though with important limitations. Commonly described barriers to treatment retention and heroin abstinence included homelessness, economic insecurity, and drug-using peers. Trial registration ClinicalTrials.gov, NCT01999946 (XOR), Registered 03 December 2013, https://clinicaltrials.gov/ct2/show/NCT01999946 .

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.

Background: The growing opioid overdose epidemic has grappled the nation with the CDC now reporting that drug overdose deaths have become the most common cause of death for young people. Medical education has historically ignored substance use disorders, and though they generally require all medical students to learn basic life support, they have not taught how to respond to opioid overdoses. Further, medical education is moving towards modalities which utilize adult learning theory. One such modality are online modules. However, there are few studies comparing their outcomes with traditional lectures. Previously, the authors compared in-person and online training of medical students to respond to opioid overdoses using naloxone in a non-randomized controlled setting, which showed no meaningful differences in knowledge, attitudes, and preparedness outcomes for students. In this paper, the authors attempt to use a randomized controlled trial to compare the two educational modalities at a second urban medical school.
Objective(s): The author's primary objective was to demonstrate non-inferiority of online compared to in-person training for knowledge. Our secondary objective were to show non-inferiority of online compared to in-person training attitudes, and preparedness.
Method(s): Our study received IRB exemption as an education intervention. As a part of a transition to clinical clerkships curriculum used for second year medical students, second year medical students in an urban medical school were randomized into training sessions by the office of medical education without foreknowledge of the planned study. Students taking the online training were provided with a link to online modules with pre- and post-tests and video based lectures. Students randomized to the in-person training group took a pre-test just prior to receiving an oral lecture, and then immediately completed a post-test. Paired student's t-tests were used to compare measurements for each group in knowledge, attitudes, and preparedness, and Cohen's D was used to measure the effect size of the change. We calculated 99% confidence intervals for each measure and utilized a margin of non-inferiority of 5%.
Result(s): The in-person group demonstrated a statistically significant increase in knowledge, a non-statistically significant decrease in self-reported preparedness, and a small non-statistically significant increase in attitudes, see Table 1. The online group demonstrated a statistically significant increase in knowledge and self-reported preparedness, without a statistically significant change in attitudes, see Table 1. 99% CIs were [-0.20, 1.09] for knowledge, [6.51, 10.93] for preparedness, and [-2.32, 1.59] for attitudes, see Figure 1.
Conclusion(s): Online training for opioid overdose prevention training provided non-inferior outcomes for knowledge, preparedness, and attitudes. This study supports the use of online opioid overdose prevention training as a non-inferior alternative to in-person training

Introduction: This study explored factors influencing patient access to medications for opioid use disorder (OUD), particularly for individuals eligible but historically suboptimal follow-up with in-house referrals to office-based opioid treatment (OBOT). Objectives: In-depth qualitative interviews among a mostly underserved sample of adults with OUD elicited: 1) knowledge and experiences across the OUD treatment cascade; and 2) more nuanced elements of patient-centered care, including shared decision making with providers, experiences in OBOT versus specialty addiction treatment, transitioning from methadone to buprenorphine or extended-release naltrexone (XR-NTX), and voluntary discontinuation of medications for OUD. Methods: We conducted semi-structured qualitative interviews between January and February of 2018 among adult inpatient detoxification program patients with OUD (n = 23). Preliminary analysis of interviews yielded key themes and ideas that were coded from a grounded theory approach. Results: Willingness to engage with OBOT was influenced by a complex array of practical considerations, including access to patient-centered care in OBOT settings, positive experiences with illicitly obtained buprenorphine, and differential experiences pertaining to OBOT versus specialty addiction treatment. Responses were generally favorable towards OBOT with buprenorphine, yet knowledge regarding extended-release naltrexone was limited. Respondents were often frustrated by clinicians when requesting to transition from methadone to buprenorphine or XR-NTX. Lastly, participants elucidated limited access to OBOT programs in underserved neighborhoods and suburban settings. Conclusion: Limited access to patient-centered care in OBOT with buprenorphine and extended-release naltrexone may exacerbate challenges to retention and/or reengagement with OUD care.

We examined technology use patterns (e.g., mobile phone and computer ownership, text messaging, internet access) and preferences for adopting health information technologies to optimize office-based treatment for substance use disorders, HIV, and Hepatitis C virus (HCV) infection. Surveys were administered to patients enrolled in inpatient detoxification program in a publicly-funded tertiary referral center. Most reported mobile phone ownership (86%) and described high rates of mobile phone (3.3) and phone number (2.6) turnover in the preceding year. Internet access was reported on a daily (52%) or weekly basis (22%). Most participants were amenable to receiving text message-based informational content (i.e., medications, support groups, treatment programs) pertaining to substance use disorders (79%), HIV (50%), and HCV care (58%). Respondents reporting less than high school education and past year incarcerated elicited higher favorability in adopting smartphone apps to facilitate peer sharing of HIV-HCV related content. Results suggest high favorability for adopting health information technologies to enhance office-based treatment for substance use disorders, HIV, and HCV, particularly among vulnerable patient sub-groups.

Aim: Naltrexone is first-line pharmacotherapy for alcohol use disorders (AUD). Oral naltrexone (ONTX) is under-prescribed in primary care and possibly limited by poor adherence. Monthly injectable extended-release naltrexone (XR-NTX) may improve adherence and good clinical outcomes.
Method(s): This is a randomized, open-label, comparative effectiveness trial of 24 weeks of XR-NTX vs. O-NTX as AUD treatment in primary care at a public hospital in New York City. Adults (>18 yo) with AUD randomized to XR-NTX (380 mg/month) vs. O-NTX (50 mg/day) with Medical Management. Self-reported daily drinking recall informed the primary outcome, a Good Clinical Outcome (GCO) across weeks 5-24, defined as abstinence or moderate drinking and 0-2 days of heavy drinking per month. Data & Results: N = 237 adults randomized (n = 117 XR-NTX; n = 120 O-NTX); mean age 48.5 (SD 10.6); 71%male; 54%AA, 21% Hispanic; 41%employed. At baseline mean drinks/day were 9.6 (SD 11.6); 29% abstinent days; 61%heavy drinking days; mean Obsessive Compulsive Drinking Scale (OCDS) scores were 17.6 (SD 7.1) and mean AUDIT scores were 24.2 (SD 8.0). 64%of monthly XR-NTX injections were received and 67%ofmonthly O-NTX refills were provided. The primary GCO across weeks 5-24 was reported by 29%XR-NTX and 23%O-NTX (p = 0.29). Mean months with a GCO was 2.9 XR-NTX, 2.5 O-NTX (p = 0.21). Rates of%days abstinent (70%XRNTX vs. 71%O-NTX; p = 0.77) and %heavy drinking days (20%XR-NTX vs. 16%O-NTX; p = 0.28) were similar weeks 1-24. Mean blood pressure decreased from 127/86 mmHg at baseline to 124/83 mmHg at week 25; there was no change in mean weight (180 lb) pre/post, and there were no differences in BP or weight changes by arm. Declines in OCDS scores (17.6 to 7.6) were similar by arm.
Conclusion(s): Initiation and retention on both forms of naltrexone was robust. Overall, participants reported improved longitudinal drinking outcomes. There was insufficient evidence of any differences in primary and secondary self-reported drinking outcomes between monthly XR-NTX and daily ONTX. Additional analysis will examine CDT and LFT levels during treatment, and interactions with OPMR1 genotype status

BACKGROUND:Smartphone apps promise to enhance the reach of evidence-based interventions (cognitive behavior therapy, contingency management and therapeutic education system) for populations with substance use disorders, with minimal disruption to health systems. However, further studies are needed to systematically evaluate smartphone apps targeting alcohol and illicit substances. OBJECTIVE:The aim of this study was to evaluate the functionality, aesthetics, and quality of information of free or low-cost apps claiming to target alcohol, benzodiazepine, cocaine, crack/cocaine, crystal methamphetamine, and heroin use using the validated Mobile App Rating Scale (MARS) and critical content analysis. METHODS:A systematic search of iTunes and Google Play app stores for free or low-cost apps facilitating recovery was conducted in March 2018 and yielded 904 apps using the keywords described in previous studies (eg, recovery, sobriety, sober, alcohol, and heroin). An interdisciplinary team of clinicians, behavioral informatics, and public health reviewers trained in substance use disorders conducted a descriptive analysis of 74 apps categorized as reducing use. In addition to the MARS scale, a descriptive analysis of relevant apps was conducted by the study team to assess for quality indicators emphasized by expert guidelines and review articles. RESULTS:Most apps (n=74) claimed to reduce use or promote abstinence and yielded an overall low median MARS score of 2.82 (0.55) and a wide range of scores (1.64, 4.20). Ratings were also low for engagement (2.75 (0.72)), functionality (3.64 (0.78)), aesthetics (3.03 (0.87)), information (2.82 (0.62)), and satisfaction (1.76 (0.67)) subdomains. Innovative design and content features elicited in the review included initial assessments of substance use following app download, tracking substance use, and related consequences (eg, cost or calorie intake), remote and proximate peer support per geospatial positioning, and allowing users and family members of individuals with substance use disorders to locate 12-step meetings, treatment programs, and mental health services. Few apps integrated evidence-based psychotherapeutic (eg, cognitive behavioral therapy [CBT] or motivational interviewing) and pharmacologic interventions (eg, naloxone or buprenorphine). CONCLUSIONS:Few commercially available apps yielded in our search integrated evidence-based interventions (eg, extended-release naltrexone, buprenorphine, naloxone, Self-Management and Recovery Training recovery, or CBT), and a concerning number of apps promoted harmful drinking and illicit substance use.