Faculty Bibliography

BACKGROUND:High potency synthetic opioids like fentanyl have continued to replace or contaminate the supply of illicit drugs in North America, with fentanyl test strips (FTSs) often used as a harm reduction tool for overdose prevention. The available evidence to support FTS for harm reduction has yet to be summarized. METHODS:A search of PubMed, Ovid Embase, and Web of Science was conducted in March 2023. A 2-stage review was conducted to screen by title and abstract and then by full text by 2 reviewers. Data were extracted from each study using a standardized template. RESULTS:A total of 91 articles were included, mostly from North America, predominantly reporting on FTS along with other harm reduction tools, and all conducted after 2016. No randomized controlled trials are reported. Robust evidence exists supporting the sensitivity and specificity of FTS, along with their acceptability and feasibility of use for people who use drugs and as a public health intervention. However, limited research is available on the efficacy of FTS as a harm reduction tool for behavior change, engagement in care, or overdose prevention. CONCLUSIONS:Though FTSs are highly sensitive and specific for point of care testing, further research is needed to assess the association of FTS use with overdose prevention. Differences in FTS efficacy likely exist between people who use opioids and nonopioid drugs, with additional investigation strongly needed. As drug testing with point-of-care immunoassays is embraced for nonfentanyl contaminants such as xylazine and benzodiazepines, increased investment in examining overdose prevention is necessary.

The objective of this study was to estimate the associations of jail-initiated medication for opioid use disorder (MOUD) and patient navigation (PN) with opioid use disorder (OUD) at 6 months post-release. Three randomized trials (combined N = 330) were combined to assess whether MOUD (extended-release naltrexone or interim methadone) initiated prior to release from jail with or without PN would reduce the likelihood of a DSM-5 diagnosis of OUD 6 months post-release relative to enhanced treatment-as-usual (ETAU). Across the three studies, assignment to MOUD compared to ETAU was not associated with an OUD diagnosis at 6 months post-release (69% vs. 75%, respectively, OR = 0.67, 95% CI: 0.42 to 1.20). Similarly, PN compared to MOUD without PN was not associated with an OUD diagnosis (63% vs 77%, respectively, OR = 0.61, 95% CI: 0.27 to 1.53). Results underscore the need to further optimize the effectiveness of MOUD for patients initiating treatment in jail, beginning with an emphasis on post-release treatment adherence.

INTRODUCTION/UNASSIGNED:This mixed-methods study assessed buprenorphine provider and administrator perceptions and experiences in offering telebuprenorphine during the COVID-19 pandemic. METHODS/UNASSIGNED:Semi-structured interviews were conducted between June 2021 and September 2021 among telebuprenorphine providers and administrators (N=16) and assessed for program design and implementation strategies, clinical workflow, patient-level factors influencing program entry and retention, and challenges and solutions to improving clinical care. RESULTS/UNASSIGNED:Clinician (n=15) and administrator (n=1) participants identified changes to clinical workflow, including increased administrative tasks to confirm patient receipt of prescribed medications, completion of referrals to community- or specialty treatment, and locating available pharmacies and laboratory services. Challenges consisted of staff redeployment to COVID-19 related responsibilities, prior authorization requirements for buprenorphine prescriptions, billing structures that under-reimbursed for telephone or video visits, and concerns with changes in government regulations. Strategies to improving telebuprenorphine included offering "hotlines" to facilitate same-day visits, expanding between-visit support, establishing workflows with community pharmacies to ensure seamless dispensing of buprenorphine, co-location of behavioral health providers, and distributing donated mobile phones to patients. Suggested technologies for enhancing care included text messaging (75%) and smartphone applications (56.3%). CONCLUSIONS/UNASSIGNED:Findings from this study highlight considerable heterogeneity in the delivery of telebuprenorphine services.

BACKGROUND:Treatment with methadone and buprenorphine medications for opioid use disorder (MOUD) during incarceration may lead to better community re-entry, but evidence on these relationships have been mixed. We aimed to identify community re-entry patterns and examine the association between in-jail MOUD and a pattern of successful reentry defined by rare occurrence of reincarceration and preventable healthcare utilization. METHODS:Data came from a retrospective, observational cohort study of 6066 adults with opioid use disorder who were incarcerated in New York City jails and released to the community during 2011-14. An outcome was community re-entry patterns identified by sequence analysis of 3-year post-release reincarceration, emergency department visits, and hospitalizations. An exposure was receipt of in-jail MOUD versus out-of-treatment (42 % vs. 58 %) for the last 3 days before discharge. The study accounted for differences in baseline demographic, clinical, behavioral, housing, and criminal legal characteristics between in-jail MOUD and out-of-treatment groups via propensity score matching. RESULTS:This study identified five re-entry patterns: stability (64 %), hospitalization (23 %), delayed reincarceration (7 %), immediate reincarceration (4 %), and continuous incarceration (2 %). After addressing confounding, 64 % and 57 % followed the stability pattern among MOUD and out-of-treatment groups who were released from jail in 2011, respectively. In 2012-14, the prevalence of following the stability pattern increased year-by-year while a consistently higher prevalence was observed among those with in-jail MOUD. CONCLUSIONS:Sequence analysis helped define post-release stability based on health and criminal legal system involvement. Receipt of in-jail MOUD was associated with a marker of successful community re-entry.

OBJECTIVES:Timeline follow-back (TLFB) is a self-report measure commonly used as a method of assessing historical drug use in both clinical and research settings. Our study considered rates of agreement between TLFB and an objective biological assay of opioid use. METHODS:We calculated the rates of agreement between negative report of opioid use for the most recent 8 days on TLFB and urine toxicology (UTOX) results in a large multisite opioid use disorder treatment trial. RESULTS:In total, 3986 assessments were provided by trial participants with both UTOX and TLFB during weeks 1 to 12, 2716 during weeks 13 to 24, and 325 at week 28. Rates of disagreement between negative TLFB and positive opioid UTOX were 2.33% of all assessments (21.68% of those with positive UTOX) over weeks 1 to 12, 2.06% of all assessment (25.00% of those with positive UTOX) over weeks 13 to 24, and 9.85% of all assessments (26.02% of those with positive UTOX) at week 28. CONCLUSIONS:Negative TLFB seems to be generally associated with negative results on urine toxicology.

BACKGROUND:Pragmatic innovations are needed to optimize clinical outcomes among people who use opioids initiating buprenorphine. This pilot randomized controlled trial assessed the feasibility of integrating text messaging in a low threshold telebuprenorphine bridge program for people who use opioids during the COVID-19 pandemic. METHODS:Eligible adult patients with opioid use disorder inducted on buprenorphine (N = 128) in the NYC Health+Hospitals Virtual Buprenorphine Clinic between May and November 2020 were randomized to an automated texting intervention based on the medical management model versus treatment as usual. A participant feedback survey was administered at 8 weeks (n = 18). Primary outcomes consisted of acceptability (eg, study enrollment, engagement with the intervention) and feasibility (eg, lack of phone number and/or mobile phone ownership) of integrating texting in clinical care. A secondary outcome included retention in treatment at week 8 (ie, active buprenorphine prescription within the prior 7 days). RESULTS:Nearly all eligible patients consented to enroll in the study (90.8%) and few were excluded because of lack of mobile phone ownership (n = 27, 14.6%). Requests to discontinue receipt of texts (n = 6, 9.4%) was attributed to excessive message frequency, perceived lack of relevancy, and reduced interest in the intervention. Respondents completing the follow-up feedback survey were generally satisfied with the frequency of software-generated messages (14/18, 77.8%) and half shared text content with peers (9/18, 50%). There were no perceived issues with privacy, intrusiveness, or ease of use. Retention did not differ between participants randomized to the texting (M = 5.23 weeks, SD = 3.41) and treatment as usual groups (M = 4.98 weeks, SD = 3.34) at week 8 ( P = 0.676). CONCLUSIONS:This pilot randomized controlled trial confirms high acceptability and feasibility of integrating an automated texting tool in a telebuprenorphine bridge program. Future studies should assess whether text messaging may be efficacious when combined with staff contact and content addressing social determinants of health.

INTRODUCTION:Recent findings support the provision of meditation-based interventions (MBIs) in primary care. However, the acceptability of MBI among patients prescribed medications for opioid use disorder (eg, buprenorphine) in primary care remains unclear. This study assessed experiences and preferences for adopting MBI among patients prescribed buprenorphine in office-based opioid treatment (OBOT). METHODS:This 23-item, semistructured cross-sectional survey was administered by study staff to patients enrolled in OBOT (N = 72) and consisted of demographic and clinical characteristics, perceptions, experiences with MBI, and preferred strategies to access MBI to support their treatment on buprenorphine. RESULTS:Most participants reported practicing at least 1 category of MBI (90.3%) on at least a daily (39.6%) or weekly (41.7%) basis including (1) spiritual meditation (eg, centering prayer; 67.7%); (2) nonmantra meditation (eg, comfortable posture; 61.3%); (3) mindfulness meditation (eg, mindfulness-based stress reduction; 54.8%); and (4) mantra meditation (eg, transcendental meditation; 29.0%). Interest in MBI was motivated by improving one's general health and well-being (73.4%), treatment outcomes with medications for OUD (eg, buprenorphine; 60.9%), and relationships with others (60.9%). Perceived clinical benefits of MBI included reduced anxiety or depression symptoms (70.3%), pain (62.5%), illicit substance or alcohol use (60.9%), cravings for illicit substances (57.8%), and opioid-related withdrawal symptoms (51.6%). CONCLUSIONS:Findings from this study indicate high acceptability for adopting MBI among patients prescribed buprenorphine in OBOT. Further research is needed to assess the efficacy of MBI to improve clinical outcomes among patients initiating buprenorphine in OBOT.

OBJECTIVES/OBJECTIVE:Timeline follow-back (TLFB) is a self-report measure commonly used as a method of assessing historical drug use in both clinical and research settings. Our study considered rates of agreement between TLFB and an objective biological assay of opioid use. METHODS:We calculated the rates of agreement between negative report of opioid use for the most recent 8 days on TLFB and urine toxicology (UTOX) results in a large multisite opioid use disorder treatment trial. RESULTS:In total, 3986 assessments were provided by trial participants with both UTOX and TLFB during weeks 1 to 12, 2716 during weeks 13 to 24, and 325 at week 28. Rates of disagreement between negative TLFB and positive opioid UTOX were 2.33% of all assessments (21.68% of those with positive UTOX) over weeks 1 to 12, 2.06% of all assessment (25.00% of those with positive UTOX) over weeks 13 to 24, and 9.85% of all assessments (26.02% of those with positive UTOX) at week 28. CONCLUSIONS:Negative TLFB seems to be generally associated with negative results on urine toxicology.

BACKGROUND:At the start of 2020, the kidney waiting list consisted of 2526 candidates with a calculated panel reactive antibody (CPRA) of 99.9% or greater, a cohort demonstrated in published research to have meaningfully lower than average access to transplantation even under the revised kidney allocation system (KAS). METHODS:This was a retrospective analysis of US kidney registrations using data from the OPTN [Reference (https://optn.transplant.hrsa.gov/data/about-data/)]. The period-prevalent study cohort consisted of US kidney-alone registrations who waited at least 1 day between April 1, 2016, when HLA DQ-Alpha and DP-Beta unacceptable antigen data became available in OPTN data collection, to December 31, 2019. Poisson rate regression was used to model deceased donor kidney transplant rates per active year waiting and using an offset term to account for differential at-risk periods. Median time to transplant was estimated for each IRR group using the Kaplan-Meier method. Sensitivity analyses were included to address geographic variation in supply-to-demand ratios and differences in dialysis time or waiting time. RESULTS:In this study, we found 1597 additional sensitized (CPRA 50-<99.9%) candidates with meaningfully lower than average access to transplant when simultaneously taking into account CPRA and other factors. In combination with CPRA, candidate blood type, Estimated Post-Transplant Survival Score (EPTS), and presence of other antibody specificities beyond those in the current, 5-locus CPRA were found to influence the likelihood of transplant. CONCLUSION:In total, this suggests approximately 4100 sensitized candidates are on the waiting list who represent a community of disadvantaged patients who may benefit from progressive therapies and interventions to facilitate incompatible transplantation. Though associated with higher risks, such interventions may nevertheless be more attractive than remaining on dialysis with the associated accumulation of mortality risk over time.