Outpatient-Based Opioid Treatment Engagement and Attendance: A Prospective Cohort Study of Homeless-Experienced Adults.

BACKGROUND: The opioid overdose epidemic disproportionately impacts people experiencing homelessness. Outpatient-based opioid treatment (OBOT) programs have been established in homeless health care settings across the USA, but little is known about the success of these programs in engaging and retaining this highly marginalized patient population in addiction care. OBJECTIVE: To evaluate predictors of initial engagement and subsequent attendance in a homeless-tailored OBOT program. DESIGN: Prospective cohort study with 4 months of follow-up. PARTICIPANTS: A total of 148 homeless-experienced adults (≥18 years) who newly enrolled in the Boston Healthcare for the Homeless Program (BHCHP) OBOT program over a 1-year period (1/6/2022-1/5/2023). MAIN MEASURES: The primary outcomes were (1) initial OBOT program engagement, defined as having ≥2 additional OBOT visits within 1 month of OBOT enrollment, and (2) subsequent OBOT program attendance, measured monthly from months 2 to 4 of follow-up. KEY RESULTS: The average age was 41.7 years (SD 10.2); 23.6% were female, 35.8% were Hispanic, 12.8% were non-Hispanic Black, and 43.9% were non-Hispanic White. Over one-half (57.4%) were initially engaged. OBOT program attendances during months 2, 3, and 4 were 60.8%, 50.0%, and 41.2%, respectively. One-quarter (24.3%) were initially engaged and then attended the OBOT program every month during the follow-up period. Participants in housing or residential treatment programs (vs. unhoused; adjusted odds ratios (aORs) = 2.52; 95% CI = 1.17-5.44) and those who were already on or initiated a medication for opioid use disorder (OUD) (aOR = 6.53; 95% CI = 1.62-26.25) at the time of OBOT enrollment had higher odds of engagement. Older age (aOR = 1.74 per 10-year increment; 95% CI = 1.28-2.38) and initial engagement (aOR = 3.50; 95% CI = 1.86-6.59) conferred higher odds of attendance. CONCLUSIONS: In this study, over half initially engaged with the OBOT program, with initial engagement emerging as a strong predictor of subsequent OBOT program attendance. Interventions aimed at enhancing initial OBOT program engagement, including those focused on housing and buprenorphine initiation, may improve longer-term outcomes in this marginalized population.

Self-help groups and opioid use disorder treatment: An investigation using a machine learning-assisted robust causal inference framework.

OBJECTIVES: This study investigates the impact of participation in self-help groups on treatment completion among individuals undergoing medication for opioid use disorder (MOUD) treatment. Given the suboptimal adherence and retention rates for MOUD, this research seeks to examine the association between treatment completion and patient-level factors. Specifically, we evaluated the causal relationship between self-help group participation and treatment completion for patients undergoing MOUD. METHODS: We used the Substance Abuse and Mental Health Services Administration's (SAMHSA) Treatment Episode Data Set: Discharges (TEDS-D) from 2015 to 2019. The data are filtered by the patient's opioid use history, demographics, treatment modality, and other relevant information. In this observational study, machine learning models (Lasso Regression, Decision Trees, Random Forest, and XGBoost) were developed to predict treatment completion. Outcome Adaptive Elastic Net (OAENet) was used to select confounders and outcome predictors, and the robust McNemars test was used to evaluate the causal relationship between self-help group participation and MOUD treatment completion. RESULTS: The machine-learning models showed a strong association between participation in self-help groups and treatment completion. Our causal analysis demonstrated an average treatment effect on treated (ATT) of 0.260 and a p-value < 0.0001 for the robust McNemars test. CONCLUSIONS: Our study demonstrates the importance of participation in self-help groups for MOUD treatment recipients. We found that participation in MOUD along with self-help groups caused higher chances of treatment completion than MOUD alone. This suggests that policymakers should consider further integrating self-help groups into the treatment for OUD to improve the adherence and completion rate.

Feasibility of a cinematic-virtual reality training program about opioid use disorder for osteopathic medical students: a single-arm pre-post study.

CONTEXT: Opioid use disorder (OUD) has a considerable morbidity and mortality in the United States. Healthcare providers are key points of contact for those with OUD; however, some providers may hold stigma toward OUD. Stigma toward OUD can lead to lower quality of care and more negative health outcomes. Thus, new trainings designed to reduce stigma toward OUD while increasing empathy are critical. We created a web-based cinematic virtual reality (cine-VR) training program on OUD for osteopathic medical students. OBJECTIVES: The aim of this pilot study was to assess changes in stigma toward OUD and empathy before and after the online cine-VR training program on OUD. METHODS: We employed a single-arm, pre- and posttest pilot study to assess changes in stigma toward OUD and empathy. Osteopathic medical students from one large medical school in the Midwest with three campuses were invited to participate in the online cine-VR training. Participants completed two surveys before and after the cine-VR training. We performed paired t tests to examine changes in stigma toward OUD and empathy scores before and after the cine-VR OUD training program. RESULTS: A total of 48 participants completed the training. We observed a decrease in stigma toward OUD posttraining (t=4.402, p<0.001); this change had a Cohen's d of 0.64, indicating a medium effect. We also observed an increase in participants' empathy scores posttraining (t=-2.376, p=0.023), with a Cohen's d of 0.40 signifying a small effect. CONCLUSIONS: Findings from this pilot study suggest that the online cine-VR training may reduce stigma toward OUD while increasing empathy. Future research employing a randomized controlled trial design with a larger, more diverse sample and a proper attention control condition is needed to confirm the effectiveness of the online cine-VR training. If confirmed, this cine-VR training may be an accessible approach to educating osteopathic medical students about OUD.

Trends in recurrent overdose and treatment initiation following emergency department visits for opioid overdose between 2016 and 2021.

BACKGROUND: Overdose remains a pressing public health concern in the United States, particularly with the emergence of fentanyl and other potent synthetic opioids in the drug supply. We evaluated trends in recurrent overdose and opioid use disorder (OUD) treatment initiation following emergency department (ED) visits for opioid overdose to inform response efforts. METHODS: This retrospective cohort study used electronic health record and statewide administrative data from Rhode Island residents who visited EDs for opioid overdose between July 1, 2016, and June 30, 2021, a period with fentanyl predominance in the local drug supply. The primary outcome was recurrent overdose in the 365 days following the initial ED visit. OUD treatment initiation within 180 days following the initial ED visit was considered as a secondary outcome. Trends in study outcomes were summarized by year of the initial ED visit. RESULTS: Among 1745 patients attending EDs for opioid overdose, 20 % (n=352) experienced a recurrent overdose within 365 days, and this percentage was similar by year (p=0.12). Among patients who experienced any recurrent overdose, the median time to first recurrent overdose was 88 days (interquartile range=23-208), with 85 % (n=299/352) being non-fatal. Among patients not engaged in OUD treatment at their initial ED visit, 33 % (n=448/1370) initiated treatment within 180 days; this was similar by year (p=0.98). CONCLUSIONS: Following ED visits for opioid overdose in Rhode Island from 2016-2021, the one-year risk of recurrent overdose and six-month treatment initiation rate remained stable over time. Innovative prevention strategies and improved treatment access are needed.

Comparison of 30-day retention in treatment among patients referred to opioid use disorder treatment from emergency department and telemedicine settings.

INTRODUCTION: Telemedicine is a feasible alternative to in-person evaluations for people with opioid use disorder (OUD). The literature on medications for opioid use disorder (MOUD) telemedicine has focused on ongoing OUD treatment. Emergency department (ED) visits are an opportunity to initiate MOUD; however, little is known regarding the outcomes of patients following telemedicine referrals for MOUD from emergency settings. The current study describes rates of initial outpatient clinic appointment attendance and 30-day retention in care among patients referred by telemedicine compared to ED referrals. METHODS: This paper reports a retrospective review of data for patients referred from EDs or telemedicine through the Medication for Addiction Treatment and Electronic Referrals (MATTERS) Network. The MATTERS online platform collects data on patient demographic information (e.g., age, gender, race/ethnicity, and insurance type), reason for visit, prior medical and mental health history, prior OUD treatment history, and past 30-day substance use behaviors. Analyses compared initial visit attendance and 30-day retention among the patients for whom follow-up data were received from clinics by demographic and initial treatment factors. RESULTS: Between October 2020 and September 2022, the MATTERS Network made 1349 referrals; 39.7 % originated from an ED and 47.8 % originated from telemedicine. For patients with available data, those referred from telemedicine were 1.64 times more likely to attend their initial clinic appointment and 2.59 times more likely be engaged in treatment at 30 days compared to those referred from an ED. More than two-thirds of patients referred from the emergency telemedicine environment followed up at their first clinic visit and more than half of these patients were still retained in treatment 30 days after referral. CONCLUSIONS: The rates of initial clinic visit and 30-day retention when referred following a telemedicine evaluation are encouraging. Further development of telemedicine programs that offer evaluations, access to medications, and referrals to treatment should be considered.

Predictors of retention in heroin-assisted treatment in Denmark 2010-2018 - A record-linkage study.

INTRODUCTION: While randomized-controlled trials have shown that heroin-assisted treatment (HAT) is superior to methadone maintenance alone in treatment of refractory clients, little is known about client factors associated with retention in HAT in routine care. METHODS: This retrospective cohort study assessed predictors of retention in first treatment episode among a consecutive cohort of clients admitted to HAT in Denmark from 2010 to 2018, who could be matched to the Danish population register and for whom a Short Form Health Survey (SF-36) was available at admission (N = 432). The study derived predictors from client self-reports at intake and administrative data available in national registers. Cox proportional hazards regression modelled retention in treatment. RESULTS: The one-year retention rate was 69.63 % (95 % CI 65.06 %-73.74 %), and the median time in treatment was 2.45 years (95 % CI, 1.83-3.12). Bivariate analyses showed that retention was lower for clients who had recent cocaine or benzodiazepine use and among those who had experienced an overdose in the year prior to enrollment in HAT. Age below 40, recent illegal activity, poorer emotional wellbeing, previous residential treatment experience, and previous intensive outpatient treatment were also predictors of dropout from HAT. CONCLUSIONS: This observational study found that retention in HAT in routine care was similar to rates observed in randomized-controlled trials conducted in other countries. The results suggest that addressing polysubstance use as part of the HAT program may promote long-term retention, as may directing resources to certain subgroups identified at intake, including clients under 40 years and those who report recent criminal activity, emotional problems, or overdoses. The findings that previous residential treatment and intensive outpatient treatment were associated with dropout were unexpected.

Patient experiences with telehealth treatment for opioid use disorder in Alabama.

INTRODUCTION: Telehealth-only provision of buprenorphine for the treatment of opioid use disorder (OUD) was first made possible during the COVID-19 pandemic. However, Alabama instituted a law in July 2022 that mandated an annual in-person visit in order to receive this treatment. In July 2023, our usually telehealth-only group established a temporary clinic in Birmingham to meet this requirement. METHODS: The study administered a survey instrument to patients at the time of clinic check-in. RESULTS: 158 of 160 (98.8 %) patients completed the survey. Mean distance traveled was 86.4 (standard deviation (SD) 53.7) miles; time required for travel was mean 1.6 (SD 1.0) hours. Twenty-five patients (15.8 %) reported needing to find childcare to attend the visit and 40 patients (25.3 %) reported missing work to attend. Patients disagreed (median 2 on 1-5 Likert scale, interquartile range (IQR) <1-3>) that it is important to see their provider in-person, that seeing their provider in-person improves care or improves their ability to succeed in treatment, and that they have other OUD treatment resources in their community. Patients strongly agreed (median 5, IQR <5-5>) that OUD can be treated by telehealth without the need for an in-person visit. CONCLUSIONS: An annual in-person visits requirement to receive telehealth OUD services imposed a significant burden on patients, was not desired by patients, and may be associated with harm.

Epidemiology of Hepatitis C infection in pregnancy: Patterns and trends in West Virginia using statewide surveillance data.

BACKGROUND: The increasing rate of Hepatitis C virus (HCV) infection has been attributed to the substance use epidemic. There is limited data on the current rates of the paralleling HCV epidemic. OBJECTIVES: To estimate the prevalence of maternal HCV infection in West Virginia (WV) and identify contributing factors. METHODS: Population-based retrospective cohort study of all pregnant individual(s) who gave birth in WV between 01/01/2020 to 01/30/2024 (N = 69,925). Multiple log-binomial regression models were used to estimate the adjusted risk ratio (ARR) and the 95% confidence intervals (CI). RESULTS: The rate of maternal HCV infection was 38 per 1,000 deliveries. The mean age of pregnant individual(s) with HCV was 29.99 (SD 4.95). The risk of HCV was significantly higher in White vs. minority racial groups [ARR 1.93 (1.50, 2.49)], those with less than [ARR 1.57 (1.37, 1.79)] or at least high school [ARR 1.31 (1.17, 1.47)] vs. more than high school education, those on Medicaid [ARR 2.32 (1.99, 2.71)] vs. private health insurance, those residing in small-metro [ARR 1.32 (1.17, 1.48)] and medium-metro [ARR 1.41 (1.24, 1.61)], vs. rural areas, and those who smoked [ARR 3.51 (3.10, 3.97)]. HCV risk was highest for those using opioids [ARR 4.43 (3.95, 4.96)]; followed by stimulant use [ARR = 1.79 (1.57, 2.04)]. CONCLUSIONS: Our findings highlight that maternal age, race, education, and type of health insurance are associated with maternal HCV infection. The magnitude of association was highest for pregnant individual(s) who smoked and used opioids and stimulants during pregnancy in WV.

Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder.

BACKGROUND: Buprenorphine for opioid use disorder (B-MOUD) is essential to improving patient outcomes; however, retention is essential. OBJECTIVE: To develop and validate machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans initiating B-MOUD. METHODS: Veterans initiating B-MOUD from fiscal years 2006-2020 were identified. Veterans' B-MOUD episodes were randomly divided into training (80%;n = 45,238) and testing samples (20%;n = 11,309). Candidate algorithms [multiple logistic regression, least absolute shrinkage and selection operator regression, random forest (RF), gradient boosting machine (GBM), and deep neural network (DNN)] were used to build and validate classification models to predict six binary outcomes: 1) B-MOUD retention, 2) any overdose, 3) opioid-related overdose, 4) overdose death, 5) opioid overdose death, and 6) all-cause mortality. Model performance was assessed using standard classification statistics [e.g., area under the receiver operating characteristic curve (AUC-ROC)]. RESULTS: Episodes in the training sample were 93.0% male, 78.0% White, 72.3% unemployed, and 48.3% had a concurrent drug use disorder. The GBM model slightly outperformed others in predicting B-MOUD retention (AUC-ROC = 0.72). RF models outperformed others in predicting any overdose (AUC-ROC = 0.77) and opioid overdose (AUC-ROC = 0.77). RF and GBM outperformed other models for overdose death (AUC-ROC = 0.74 for both), and RF and DNN outperformed other models for opioid overdose death (RF AUC-ROC = 0.79; DNN AUC-ROC = 0.78). RF and GBM also outperformed other models for all-cause mortality (AUC-ROC = 0.76 for both). No single predictor accounted for >3% of the model's variance. CONCLUSIONS: Machine-learning algorithms can accurately predict OUD-related outcomes with moderate predictive performance; however, prediction of these outcomes is driven by many characteristics.

Diagnosing and managing prescription opioid use disorder in patients prescribed opioids for chronic pain in Australian general practice settings: a qualitative study using the theory of Planned Behaviour.

BACKGROUND: Chronic pain is a debilitating and common health issue. General Practitioners (GPs) often prescribe opioids to treat chronic pain, despite limited evidence of benefit and increasing evidence of harms, including prescription Opioid Use Disorder (pOUD). Australian GPs are worried about the harms of long-term opioids, but few are involved in the treatment of pOUD. There is little research on GPs' experiences diagnosing and managing pOUD in their chronic pain patients. METHODS: This qualitative research used semi-structured interviews and a case study to investigate GPs' experiences through the lens of the Theory of Planned Behaviour (TPB). TPB describes three factors, an individual's perceived beliefs/attitudes, perceived social norms and perceived behavioural controls. Participants were interviewed via an online video conferencing platform. Interviews were transcribed verbatim and thematically analysed. RESULTS: Twenty-four GPs took part. Participants were aware of the complex presentations for chronic pain patients and concerned about long-term opioid use. Their approach was holistic, but they had limited understanding of pOUD diagnosis and suggested that pOUD had only one treatment: Opioid Agonist Treatment (OAT). Participants felt uncomfortable prescribing opioids and were fearful of difficult, conflictual conversations with patients about the possibility of pOUD. This led to avoidance and negative attitudes towards diagnosing pOUD. There were few positive social norms, few colleagues diagnosed or managed pOUD. Participants reported that their colleagues only offered positive support as this would allow them to avoid managing pOUD themselves, while patients and other staff were often unsupportive. Negative behavioural controls were common with low levels of knowledge, skill, professional supports, inadequate time and remuneration described by many participants. They felt OAT was not core general practice and required specialist management. This dichotomous approach was reflected in their views that the health system only supported treatment for chronic pain or pOUD, not both conditions. CONCLUSIONS: Negative beliefs, negative social norms and negative behavioural controls decreased individual behavioural intention for this group of GPs. Diagnosing and managing pOUD in chronic pain patients prescribed opioids was perceived as difficult and unsupported. Interventions to change behaviour must address negative perceptions in order to lead to more positive intentions to engage in the management of pOUD.

Impact of opioid overdoses on US life expectancy and years of life lost, by demographic group and stimulant co-involvement: a mortality data analysis from 2019 to 2022.

Background: The United States' opioid crisis is worsening, with the number of deaths reaching 81,806 in 2022 after more than tripling over the past decade. This study aimed to comprehensively characterize changes in burden of opioid overdose mortality in terms of life expectancy reduction and years of life lost between 2019 and 2022, including differential burden across demographic groups and the contribution of polysubstance use. Methods: Using life tables and counts for all-cause and opioid overdose deaths from the National Center for Health Statistics, we constructed cause-eliminated life tables to estimate mortality by age in the absence of opioid-related deaths. We calculated the loss in life expectancy at birth (LLE) and total years of life lost (YLL) due to opioid overdose deaths by state of residency, sex, racial/ethnic group, and co-involvement of cocaine and psychostimulants. Findings: Opioid-related deaths in the US led to an estimated 3.1 million years of life lost in 2022 (38 years per death), compared to 2.0 million years lost in 2019. Relative to a scenario with no opioid mortality, we estimate that opioid-related deaths reduced life expectancy nationally by 0.67 years in 2022 vs 0.52 years in 2019. This LLE worsened in all racial/ethnic groups during the study period: 0.76 y-0.96 y for white men, 0.36 y-0.55 y for white women, 0.59 y-1.1 y for Black men, 0.27 y-0.53 y for Black women, 0.31 y-0.82 y for Hispanic men, 0.19 y-0.31 y for Hispanic women, 0.62 y-1.5 y for American Indian/Alaska Native (AI/AN) men, 0.43 y-1 y for AI/AN women, 0.09 y-0.2 y for Asian men, and 0.08 y-0.13 y for Asian women. Nearly all states experienced an increase in years of life lost (YLL) per capita from 2019 to 2022, with YLL more than doubling in 16 states. Cocaine or psychostimulants with abuse potential (incl. methamphetamines) were involved in half of all deaths and years of life lost in 2022, with substantial variation in the predominant drug class by state and racial/ethnic group. Interpretation: The burden of opioid-related mortality increased dramatically in the US between 2019 and 2022, coinciding with the period of the COVID-19 pandemic and the associated disruptions to social, economic, and health systems. Opioid overdose deaths are an important contributor to decreasing US life expectancy, and Black, Hispanic, and Native Americans now experience mortality burdens approaching or exceeding white Americans. Funding: None.

ADOLESCENT ORAL OXYCODONE SELF-ADMINISTRATION DISRUPTS NEUROBEHAVIORAL AND NEUROCOGNITIVE DEVELOPMENT.

Nonmedical use of prescription opioids peaks during late adolescence, a developmental period associated with the maturation of higher-order cognitive processes. To date, however, how chronic adolescent oxycodone (OXY) self-administration alters neurobehavioral (i.e., locomotion, startle reactivity) and/or neurocognitive (i.e., preattentive processes, intrasession habituation, stimulus-reinforcement learning, sustained attention) function has not yet been systematically evaluated. Hence, the rationale was built for establishing the dose-dependency of adolescent OXY self-administration on the trajectory of neurobehavioral and neurocognitive development. From postnatal day (PD) 35 to PD 105, an age in rats that corresponds to the adolescent and young adult period in humans, male and female F344/N rats received access to either oral OXY (0, 2, 5, or 10 mg/kg) or water under a two-bottle choice experimental paradigm. Independent of biological sex or dose, rodents voluntarily escalated their OXY intake across ten weeks. A longitudinal experimental design revealed prominent OXY-induced impairments in neurobehavioral development, characterized by dose-dependent increases in locomotion and sex-dependent increases in startle response. Systematic manipulation of the interstimulus interval in prepulse inhibition supports an OXY-induced impairment in preattentive processes. Despite the long-term cessation of OXY intake, rodents with a history of chronic adolescent oral OXY self-administration exhibited deficits in sustained attention; albeit no alterations in stimulus-reinforcement learning were observed. Taken together, adolescent oral OXY self-administration induces selective long-term alterations in neurobehavioral and neurocognitive development enjoining the implementation of safer prescribing guidelines for this population.

Epigenetic and sex differences in opioid use disorder in chronic pain: A real-world study linked with OPRM1 DNA methylation.

Opioid use disorder (OUD) is a multifaceted condition influenced by sex, genetic and environmental factors that could be linked with epigenetic changes. Understanding how these factors interact is crucial to understand and address the development and progression of this disorder. Our aim was to elucidate different potential epigenetic and genetic mechanisms between women and men that correlate with OUD under real-world pain unit conditions. Associations between analgesic response and the DNA methylation level of the opioid mu receptor (OPRM1) gene (CpG sites 1-5 selected in the promoter region) were evaluated in 345 long opioid-treated chronic non cancer pain: cases with OUD (n = 67) and controls (without OUD, n = 278). Cases showed younger ages, low employment status and quality of life, but higher morphine equivalent daily dose and psychotropic use, compared to the controls. The patients with OUD showed a significant decrease in OPRM1 DNA methylation, which correlated with clinical outcomes like pain relief, depression and different adverse events. Significant differences were found at the five CpG sites studied for men, and exclusively in women for CpG site 3, in relation to OUD diagnosis. These findings support the importance of epigenetics and sex as biological variables to be considered toward efficient OUD understanding and therapy development.

Assessing Substance Use Disorder Symptoms with a Checklist among Primary Care Patients with Opioid Use Disorder and/or Long-Term Opioid Treatment: An Observational Study.

BACKGROUND: Primary care (PC) offers an opportunity to treat opioid use disorders (OUD). The Substance Use Symptom Checklist ("Checklist") can assess DSM-5 substance use disorder (SUD) symptoms in PC. OBJECTIVE: To test the psychometric properties of the Checklist among PC patients with OUD or long-term opioid therapy (LTOT) in Kaiser Permanente Washington (KPWA). DESIGN: Observational study using item response theory (IRT) and differential item functioning (DIF) analyses of measurement consistency across age, sex, race and ethnicity, and receipt of treatment. PATIENTS: Electronic health records (EHR) data were extracted for all adult PC patients visiting KPWA 3/1/15-8/30/2020 who had ≥ 1 Checklist documented and indication of either (a) clinically-recognized OUD (i.e., documented OUD diagnosis and/or OUD medication treatment) or (b) LTOT in the year prior to the checklist. MAIN MEASURE: The Checklist includes 11 items reflecting DSM-5 criteria for SUD. We described the prevalence of 2 SUD symptoms reported on the Checklist (consistent with mild-severe DSM-5 SUD). Analyses were conducted in the overall sample and in two subsamples (clinically-recognized OUD and LTOT only). KEY RESULTS: Among 2007 eligible patients, 39.9% endorsed ≥ 2 SUD symptoms (74.3% in the clinically-recognized OUD subsample and 13.1% in LTOT subsample). IRT indicated that a unidimensional model for the 11 checklist items had excellent fit (comparative fit index = 0.998) with high item-level discrimination parameters for the overall sample and both subsamples. DIF across age, race and ethnicity, and treatment was observed for one item each, but had minimal impact on expected number of criteria (0-11) patients endorse. CONCLUSIONS: The Substance Use Symptom Checklist measured SUD symptoms consistent with DSM-5 conceptualization (scaled, unidimensional) in patients with clinically-recognized OUD and LTOT and had similar measurement properties across demographic subgroups. The Checklist may support symptom assessment in patients with OUD and diagnosis in patients with LTOT.

Integrating Buprenorphine for Opioid Use Disorder into Rural, Primary Care Settings.

BACKGROUND: Medications for opioid use disorder (MOUD) including buprenorphine are effective, but underutilized. Rural patients experience pronounced disparities in access. To reach rural patients, the US Department of Veterans Affairs (VA) has sought to expand buprenorphine prescribing beyond specialty settings and into primary care. OBJECTIVE: Although challenges remain, some rural VA health care systems have begun offering opioid use disorder (OUD) treatment with buprenorphine in primary care. We conducted interviews with clinicians, leaders, and staff within these systems to understand how this outcome had been achieved. DESIGN: Using administrative data from the VA Corporate Data Warehouse (CDW), we identified rural VA health care systems that had improved their rate of primary care-based buprenorphine prescribing over the period 2015-2020. We conducted qualitative interviews (n = 30) with staff involved in implementing or prescribing buprenorphine in these systems to understand the processes that had facilitated implementation. PARTICIPANTS: Clinicians, staff, and leaders embedded within rural VA health care systems located in the Northwest, West, Midwest (2), South, and Northeast. APPROACH: Qualitative interviews were analyzed using a mixed inductive/deductive approach. KEY RESULTS: Interviews revealed the processes through which buprenorphine was integrated into primary care, as well as processes insufficient to enact change. Implementation was often initially catalyzed through a targeted hire. Champions then engaged clinicians and leaders one-on-one to "pitch" the case, describe concordance between buprenorphine prescribing and existing goals, and delineate the supportive role that they could provide. Sites were prepared for implementation by developing new clinical teams and redesigning clinical processes. Each of these processes was made possible with the active, instrumental support of leadership. CONCLUSIONS: Results suggest that rural systems seeking to improve buprenorphine accessibility in primary care may need to alter primary care structures to accommodate buprenorphine prescribing, whether through new hires, team development, or clinical redesign.

Dose-specific clinical outcomes in patients with opioid use disorder treated with 24-32 mg/day of buprenorphine.

BACKGROUND/AIMS: In people with opioid use disorder (OUD), buprenorphine is a vital treatment to decrease opioid use and overdose. The US Food and Drug Administration's prescribing information for buprenorphine advises dosing up to 24 mg/day; however, doses of buprenorphine up to 32 mg have been shown to be safe and effective. We compared outcomes associated increased dosing from 24 to 32 mg/day. DESIGN: Prospective cohort investigation. SETTING: Low-barrier buprenorphine clinic in Washington, District of Columbia, USA. PARTICIPANTS: Participants in the ANCHOR study (people with hepatitis C virus (HCV), OUD, and active opioid misuse who were treated for HCV and offered buprenorphine) who received buprenorphine at doses of 24 and/or 32 mg/day. 72 participants were included in the analysis: 24 (33%) patients stabilized on 24 mg, and 48 (67%) patients stabilized on 32 mg. Patients were predominantly male (78%), Black (96%), unstably housed (57%), and used opioids by injection (93%). MEASUREMENTS: Patient-reported drug use, use frequency, triggers for use, and urine drug screens were collected at each visit. For analysis, the cohort was divided into individuals stabilized on 24 mg (24 mg cohort) or 32 mg (32 mg cohort). Drug use outcomes were assessed between cohorts at 24 mg dosing and at respective maximum dosing. Within the 32 mg cohort, outcomes were compared at 24 mg versus 32 mg dosing. FINDINGS: Within the 32 mg cohort, increased dosing from 24 to 32 mg was associated with a decline in opioid use (68.5% [5.2%] at 24 mg vs 59.5% [5.6%] at 32 mg; P = 0.02), frequency of use per week (1.58 [0.19] at 24 mg vs. 1.15 [0.16] at 32 mg; P = 0.0002) and physiologic triggers for use (38.2% [6.0%] at 24 mg vs 7.0% [1.9%] at 32 mg; P < 0.0001). At the end of the study period, there were significantly more patients retained in the 32 mg cohort (78.7%) compared with the 24 mg cohort (50.0%, P = 0.02). CONCLUSION: Higher buprenorphine dosing (32 mg/day) appears to improve outcomes in people with opioid use disorder, even in the absence of abstinence.

Mobile addiction treatment and harm reduction services as tools to address health inequities: a community case study of the Brockton Neighborhood Health Center mobile unit.

Opioid overdose deaths continue to increase in the US. Recent data show disproportionately high and increasing overdose death rates among Black, Latine, and Indigenous individuals, and people experiencing homelessness. Medications for opioid use disorder (MOUD) can be lifesaving; however, only a fraction of eligible individuals receive them. Our goal was to describe our experience promoting equitable MOUD access using a mobile delivery model. We implemented a mobile MOUD unit aiming to improve equitable access in Brockton, a racially diverse, medium-sized city in Massachusetts. Brockton has a relatively high opioid overdose death rate with increasingly disproportionate death rates among Black residents. Brockton Neighborhood Health Center (BNHC), a community health center, provides brick-and-mortar MOUD access. Through the Communities That HEAL intervention as part of the HEALing Communities Study (HCS), Brockton convened a community coalition with the aim of selecting evidence-based practices to decrease overdose deaths. BNHC leadership and coalition members recognized that traditional brick-and-mortar treatment locations were inaccessible to marginalized populations, and that a mobile program could increase MOUD access. In September 2021, with support from the HCS coalition, BNHC launched its mobile initiative - Community Care-in-Reach® - to bring low-threshold buprenorphine, harm reduction, and preventive care to high-risk populations. During implementation, the team encountered several challenges including: securing local buy-in; navigating a complex licensure process; maintaining operations throughout the COVID-19 pandemic; and finally, planning for sustainability. In two years of operation, the mobile team cared for 297 unique patients during 1,286 total visits. More than one-third (36%) of patients received buprenorphine prescriptions. In contrast to BNHC's brick-and-mortar clinics, patients with OUD seen on the mobile unit were more representative of historically marginalized racial and ethnic groups, and people experiencing homelessness, evidencing improved, equitable addiction care access for these historically disadvantaged populations. Offering varied services on the mobile unit, such as wound care, syringe and safer smoking supplies, naloxone, and other basic medical care, was a key engagement strategy. This on-demand mobile model helped redress systemic disadvantages in access to addiction treatment and harm reduction services, reaching diverse individuals to offer lifesaving MOUD at a time of inequitable increases in overdose deaths.

Fentanyl and xylazine crisis: Crafting coherent strategies for opioid overdose prevention.

The United States is in the throes of a severe opioid overdose epidemic, primarily fueled by the pervasive use of fentanyl and the emerging threat of xylazine, a veterinary sedative often mixed with fentanyl. The high potency and long duration of fentanyl is compounded by the added risks from xylazine, heightening the lethal danger faced by opioid users. Measures such as enhanced surveillance, public awareness campaigns, and the distribution of fentanyl-xylazine test kits, and naloxone have been undertaken to mitigate this crisis. Fentanyl-related overdose deaths persist despite these efforts, partly due to inconsistent policies across states and resistance towards adopting harm reduction strategies. A multifaceted approach is imperative in effectively combating the opioid overdose epidemic. This approach should include expansion of treatment access, broadening the availability of medications for opioid use disorder, implementation of harm reduction strategies, and enaction of legislative reforms and diminishing stigma associated with opioid use disorder.

Association of primary care engagement with initiation and continuation of medication treatment for opioid use disorder among persons with a history of injection drug use.

BACKGROUND: For patients with opioid use disorder (OUD), primary care can serve as a pathway to medication for OUD (MOUD). No community-based studies have examined whether people with OUD engaged in primary care are more likely to a) initiate or b) continue MOUD. METHODS: Data were collected 2014-2020 from two subsamples of the AIDS Linked to the Intravenous Experience (ALIVE) cohort, a community-recruited cohort of people from Baltimore who have injected drugs: 1) people who reported past-six-month illicit opioid use and no MOUD (360 participants, 789 study visits), and 2) people who reported MOUD and no illicit opioid use in the past six months (561 participants, 2027 visits). Logistic regression was used to estimate associations of past six-month self-reported primary care engagement, respectively, with a) initiating MOUD, b) continuing MOUD, and c) cessation from illicit opioid use without initiating MOUD. RESULTS: Among 360 persons not on MOUD treatment (28 % female, 26 % under 50, 59 % actively injecting drugs), primary care engagement was not associated with either cessation from illicit opioid use or initiating MOUD. Similarly, among persons on MOUD (40 % female, 22 % under 50, 6 % actively injecting drugs) primary care engagement was not associated with continued treatment. CONCLUSIONS: Our findings implicate missed opportunities to initiate and maintain buprenorphine treatment in primary care settings.