Disparities in Access to Opioid Treatment Programs and Office-Based Buprenorphine Treatment Across the Rural-Urban and Area Deprivation Continua: A US Nationwide Small Area Analysis

Impact of Perceived Access and Treatment Knowledge on Medication Preferences for Opioid Use Disorder

BACKGROUND

Medications for opioid use disorders (MOUDs) are effective, but most people with opioid use disorder (OUD) do not receive treatment. Prior research has explored patients' structural barriers to access and perceptions of MOUD. Little research has considered treatment knowledge and perceptions outside of the patient population. Members of the public without OUD themselves (eg, family, friends) can significantly influence treatment decisions of persons with OUD. Considering these gaps, we conducted an original survey with a diverse sample of US adults to explore knowledge and preferences toward OUD treatments.

METHODS

We conducted an online survey with 1505 White, Black, and Latino/a Americans including a small percentage (8.5%) with self-reported lifetime OUD. The survey used vignettes to describe hypothetical patients with OUD, provide basic treatment information (ie, methadone, buprenorphine, naltrexone, nonmedication treatment), and then assessed treatment preferences. Using multivariable logistic regression, we examined associations between covariates of interest (eg, perceived access, knowledge, demographics) and preference for MOUD versus nonmedication treatment.

RESULTS

There were 523 White, 502 Black, and 480 Latino/a respondents. Across racial/ethnic subsamples, respondents had the greatest knowledge of nonmedication treatments, with Black (72.7%) and Latino/a (70.2%) respondents having significantly greater knowledge compared to White respondents (61.8%). However, after viewing the vignette, a greater proportion of respondents chose methadone (35.8%) or buprenorphine (34.8%) as their first-choice treatment for hypothetical patients. Multivariable logistic regression suggested that among Black respondents, those with knowledge of nonmedication treatment were more likely to choose MOUD than those without knowledge (odds ratio = 2.41, 95% confidence interval = 1.34-4.34). Perceived treatment access did not affect treatment choice.

CONCLUSIONS

Across racial groups, knowledge and perceived access to nonmedication treatment was greater than for MOUD, but many still selected MOUD as a first-choice treatment. Significant findings emphasized the importance of treatment knowledge around decision-making, highlighting opportunities for tailored education efforts to improve uptake of evidence-based treatment.

Growing importance of high-volume buprenorphine prescribers in OUD treatment: 2009-2018

BACKGROUND

We examined the number and characteristics of high-volume buprenorphine prescribers and the nature of their buprenorphine prescribing from 2009 to 2018.

METHODS

In this observational cohort study, IQVIA Real World retail pharmacy claims data were used to characterize trends in high-volume buprenorphine prescribers (clinicians with a mean of 30 or more active patients in every month that they were an active prescriber) during 2009-2018. Very high-volume prescribing (mean of 100+ patients per month) was also examined.

RESULTS

Overall, 94,491 clinicians prescribed buprenorphine dispensed during 2009-2018. The proportion of active prescribers meeting high-volume criteria increased from 7.4 % in 2009 to 16.7 % in 2018. High-volume prescribers accounted for 80 % of dispensed buprenorphine prescriptions during 2009-2018; very high-volume prescribers accounted for 26 %. Adult primary care physicians consistently comprised the majority of high-volume prescribers. Addiction specialists were much more likely to be high-volume prescribers compared to other specialties, including psychiatrists and pain specialists. By 2018, the proportion of prescriptions from high-volume prescribers paid by Medicaid had doubled to 40 %, accompanied by a decline in both self-pay and commercial insurance. High-volume prescribers were overwhelmingly concentrated in urban counties with the highest fatal overdose rates. In 2018, the highest density of high-volume prescribers was in New England and the mid-Atlantic region.

CONCLUSIONS

Growth in high-volume prescribers outpaced the overall growth in buprenorphine prescribers across 2009-2018. High-volume prescribers play an increasingly central role in providing medication for OUD in the U.S., yet results indicate key regional variation in the availability of high-volume buprenorphine prescribers.

Association between Individual versus Community-level Social Vulnerability and Neonatal Opioid Withdrawal Syndrome among Pregnant Individuals Receiving Buprenorphine for Opioid Use Disorder

OBJECTIVE

 Individual patient-level measures of adverse social determinants of health are associated with neonatal opioid withdrawal syndrome (NOWS), but the relative impact of community-level adverse social determinants of health remains to be defined. We examined the association between community-level social vulnerability and NOWS among pregnant individuals receiving buprenorphine for opioid use disorder.

STUDY DESIGN

 We conducted a secondary analysis of an established cohort of pregnant individuals and their infants participating in a multidisciplinary prenatal/addiction care program from 2013 to 2021. Addresses were geocoded using ArcGIS and linked at the census tract to the Centers for Disease Control and Prevention 2018 Social Vulnerability Index (SVI), incorporating 15 census variables. The primary exposure was the SVI as a composite measure of community-level social vulnerability, and secondarily, individual scores for four thematic domains (socioeconomic status, household composition and disability, minority status and language, and housing type and transportation). The primary outcome was a clinical diagnosis of NOWS defined as withdrawal requiring pharmacological treatment following buprenorphine exposure.

RESULTS

 Among 703 pregnant individuals receiving buprenorphine, 39.8% (280/703) of infants were diagnosed with NOWS. Among our patinets, those who were nulliparous, had post-traumatic stress disorder, a term birth (≥ 37 weeks) and had a male infant were more likely to have an infant diagnosed with NOWS. Individuals with and without an infant diagnosed with NOWS had similarly high community-level social vulnerability per composite SVI scores (mean [standard deviation]: 0.6 [0.4-0.7] vs. 0.6 [0.4-0.7], p = 0.2]. In adjusted analyses, SVI, as a composite measure as well as the four domains, was not associated with NOWS diagnosis.

CONCLUSION

 Among pregnant persons receiving buprenorphine enrolled in a multidisciplinary prenatal and addition care program, while individual risk factors that measure adverse social determinants of health were associated with an NOWS diagnosis in the infant, community-level social vulnerability as measured by the SVI was not associated with the outcome.

KEY POINTS

· Community-level SVI was not associated with neonatal opioid use disorder.. · Certain individual risk factors were identified as being associated with NOWS.. · Homogeneity of composite SVI scores may have led to lack of significant findings..

Examining the association of rurality with opioid-related morbidity and mortality in Georgia: A geospatial analysis

INTRODUCTION

The US opioid epidemic continues to escalate, with overdose deaths being the most-used metric to quantify its burden. There is significant geographic variation in opioid-related outcomes. Rural areas experience unique challenges, yet many studies oversimplify rurality characterizations. Contextual factors, such as area deprivation, are also important to consider when understanding a community's need for treatment services and prevention programming. This study aims to provide a geospatial snapshot of the opioid epidemic in Georgia using several metrics of opioid-related morbidity and mortality and explore differences by rurality across counties.

METHODS

This was a spatial ecologic study. Negative binominal regression was used to model the relationship of county rurality with four opioid-related outcomes - overdose mortality, emergency department visits, inpatient hospitalizations, and overdose reversals - adjusting for county-level sex, racial/ethnic, and age distributions. Area Deprivation Index was also included.

RESULTS

There was significant geographic variation across the state for all four opioid-related outcomes. Counts remained highest among the metro areas. For rates, counties in the top quartile of rates varied by outcome and were often rural areas. In the final models, rurality designation was largely unrelated to opioid outcomes, with the exception of medium metro areas (inversely related to hospitalizations and overdose reversals) and non-core areas (inversely related to hospitalizations), as compared to large central metro areas. Higher deprivation was significantly related to increased ED visits and hospitalizations, but not overdose mortality and reversals.

CONCLUSIONS

When quantifying the burden of the opioid epidemic in a community, it is essential to consider multiple outcomes of morbidity and mortality. Understanding what outcomes are problematic for specific communities, in combination with their demographic and socioeconomic context, can provide insight into gaps in the treatment continuum and potential areas for intervention. Additionally, compared to demographic and socioeconomic factors, rurality may no longer be a salient predictor of the severity of the opioid epidemic in an area.

Association of spatial proximity to fixed-site syringe services programs with HCV serostatus and injection equipment sharing practices among people who inject drugs in rural New England, United States

BACKGROUND

Hepatitis C virus (HCV) disproportionately affects rural communities, where health services are geographically dispersed. It remains unknown whether proximity to a syringe services program (SSP) is associated with HCV infection among rural people who inject drugs (PWID).

METHODS

Data are from a cross-sectional sample of adults who reported injecting drugs in the past 30 days recruited from rural counties in New Hampshire, Vermont, and Massachusetts (2018-2019). We calculated the road network distance between each participant's address and the nearest fixed-site SSP, categorized as ≤ 1 mile, 1-3 miles, 3-10 miles, and > 10 miles. Staff performed HCV antibody tests and a survey assessed past 30-day injection equipment sharing practices: borrowing used syringes, borrowing other used injection equipment, and backloading. Mixed effects modified Poisson regression estimated prevalence ratios (aPR) and 95% confidence intervals (95% CI). Analyses were also stratified by means of transportation.

RESULTS

Among 330 PWID, 25% lived ≤ 1 mile of the nearest SSP, 17% lived 1-3 miles of an SSP, 12% lived 3-10 miles of an SSP, and 46% lived > 10 miles from an SSP. In multivariable models, compared to PWID who lived within 1 mile of an SSP, those who lived 3 to 10 miles away had a higher prevalence of HCV seropositivity (aPR: 1.25, 95% CI 1.06-1.46), borrowing other used injection equipment (aPR: 1.23, 95% CI 1.04-1.46), and backloading (aPR: 1.48, 95% CI 1.17-1.88). Similar results were observed for PWID living > 10 miles from an SSP: aPR [HCV]: 1.19, 95% CI 1.01-1.40; aPR [borrowing other used equipment]:1.45, 95% CI 1.29-1.63; and aPR [backloading]: 1.59, 95% CI 1.13-2.24. Associations between living 1 to 3 miles of an SSP and each outcome did not reach statistical significance. When stratified by means of transportation, associations between distance to SSP and each outcome (except borrowing other used injection equipment) were only observed among PWID who traveled by other means (versus traveled by automobile).

CONCLUSIONS

Among PWID in rural New England, living farther from a fixed-site SSP was associated with a higher prevalence of HCV seropositivity, borrowing other used injection equipment, and backloading, reinforcing the need to increase SSP accessibility in rural areas. Means of transportation may modify this relationship.

Referral of patients from rural primary care clinics to telemedicine vendors for opioid use disorder treatment: A mixed-methods study

INTRODUCTION

Rural primary care clinics can expand their medication treatment for opioid use disorder (MOUD) capacity by coordinating care with external telemedicine (TM) vendors specializing in addiction medicine. This study used mixed methods to identify factors that influence patient referrals from rural primary care clinics to TM vendors for MOUD.

METHODS

Between July/August 2020 and January/February 2021, 582 patients with OUD were identified across six primary care sites; that included 68 referred to an external TM vendor to receive MOUD. Mixed effects logistic regression identified individual and site-level factors associated with being referred to the TM vendor. Clinic providers and staff participated in in-depth interviews and focus groups to discuss their considerations for referring patients to the TM vendor.

RESULTS

Patient referrals were positively associated with local household broadband coverage (OR = 2.55, p < 0.001) and negatively associated with local population density (OR = 0.01, p  =  0.003) and the number of buprenorphine prescribers in the county (OR = 0.85, p < 0.001). Clinic personnel expressed appreciation for psychiatric expertise and the flexibility to access MOUD brought by the TM vendor. Perceived concerns about TM referral included a lack of trust with external providers, uncertainty about TM service quality, workflow delays, and patients' technological and insurance challenges.

CONCLUSION

This study revealed several clinic-level factors that may potentially influence patient referral to TM vendor services for MOUD. To facilitate the referral process and utilization of TM vendors, efforts should be made to foster open communication and trust between clinic providers and TM vendors, streamline workflows, and improve Internet access for patients.

Disparities in access to opioid treatment programs and buprenorphine providers by race and ethnicity in the contiguous U.S

BACKGROUND

The burden of drug overdose mortality varies by race and ethnicity, with American Indian/Alaska Native (AI/AN), Black, and White people experiencing the largest burden. We analyzed census block group data to evaluate differences in travel distance to opioid treatment programs (OTP) and buprenorphine providers by race and ethnicity.

METHODS

The Substance Abuse and Mental Health Services Administration provided the addresses of OTPs and buprenorphine providers. The study classified block groups as majority (≥50 %) AI/AN, Black, Asian, White, no single racial majority, or Hispanic. We classified deprivation and rurality using the Area Deprivation Index and Rural-Urban Commuting Area codes. The study applied generalized linear mixed models.

RESULTS

Among all block groups, the median road distance to the nearest OTPs and buprenorphine providers was 8 and 2 miles, respectively. AI/AN-majority block groups had the longest median distances to OTPs (88 miles versus 4-10 miles) and buprenorphine providers (17 miles versus 1-3 miles) compared to other racial or ethnic majority block groups. For OTPs and buprenorphine providers, travel distances were slightly greater in more deprived block groups compared to less deprived block groups. The median distance to the nearest OTPs and buprenorphine providers were larger in micropolitan and small town/rural block groups compared to metropolitan areas.

CONCLUSIONS

Disparities exist in travel distance to OTPs and buprenorphine providers. People in block groups with AI/AN-majority, nonmetropolitan, or more deprived designation experience travel disparities accessing treatment. Future research should develop targeted interventions to reduce access to care disparities for individuals with opioid use disorder.

Utilization of Medications for Opioid Use Disorder Among West Virginia Medicaid Enrollees Following Medicaid Coverage of Methadone

BACKGROUND

West Virginia entered an institution for mental disease Section 1115 waiver with the Centers for Medicare & Medicaid Services in 2018, which allowed Medicaid to cover methadone at West Virginia's nine opioid treatment programs (OTPs) for the first time.

METHODS

We conducted time trend and geospatial analyses of Medicaid enrollees between 2016 and 2019 to examine medications for opioid use disorder utilization patterns following Medicaid coverage of methadone, focusing on distance to an OTP as a predictor of initiating methadone and conditional on receiving any, longer treatment duration.

RESULTS

Following Medicaid coverage of methadone in 2018, patients receiving methadone comprised 9.5% of all Medicaid enrollees with an opioid use disorder (OUD) diagnosis and 10.6% in 2019 (P < 0.01). In 2018, two-thirds of methadone patients either had no prior OUD diagnosis or were not previously enrolled in Medicaid in our observation period. Patients residing within 20 miles of an OTP were more likely to receive methadone (marginal effect [ME]: -0.041, P < 0.001). Similarly, patients residing in metropolitan areas were more likely to receive treatment than those residing in nonmetropolitan areas (ME: -0.019, P < 0.05). Metropolitan patients traveled an average of 15 miles to an OTP; nonmetropolitan patients traveled more than twice as far (P < 0.001). We found no significant association between distance and treatment duration.

CONCLUSIONS

West Virginia Medicaid's new methadone coverage was associated with an influx of new enrollees with OUD, many of whom had no previous OUD diagnosis or prior Medicaid enrollment. Methadone patients frequently traveled far distances for treatment, suggesting that the state needs additional OTPs and innovative methadone delivery models to improve availability.

Non-prescribing clinicians' treatment orientations and attitudes toward treatments for opioid use disorder: Rural differences

INTRODUCTION

The United States has experienced substantial increases in opioid use for more than two decades. This growth has impacted rural areas where overdoses have risen drastically during this time period and more often involve prescription opioids than in urban areas. Medications for opioid use disorders (MOUDs) are highly underutilized in rural settings due to lack of access, inadequate prescribing, and stigma.

METHODS

The study collected data using a cross-sectional online survey of nonprescribing clinicians (NPCs) involved in the treatment of substance use disorders (SUDs) in the United States. The study used multiple recruitment methods to obtain a purposive sample of NPCs from a variety of geographical contexts across the nation. The survey assessed demographic and practice characteristics including rurality of practice location, exposure and training related to MOUDs, treatment orientation, treatment preferences for opioid use disorder (OUD), and attitudes toward MOUDs. The study compared treatment preferences for OUD and attitudes toward MOUDs based on rurality of practice location. We tested a mediation model to determine whether the relationship between rurality of practice setting and attitudes toward MOUDs is mediated by treatment orientation.

RESULTS

Most of the 636 NPCs surveyed favored a combination of MOUDs and psychosocial treatment. Compared to clinicians practicing in suburban or urban areas, self-identified rural clinicians were more likely to favor MOUDs alone as most effective and less likely to endorse a combination of MOUDs and psychosocial treatment. Although most NPCs were supportive of MOUDs overall, many endorsed misconceptions related to MOUDs. Rural clinicians were less likely to perceive MOUDs as effective or acceptable compared to those in urban settings. Results of a mediation analysis indicated that practicing in a rural location compared to in an urban location directly and indirectly influenced attitudes toward MOUDs through an effect on treatment orientation.

CONCLUSIONS

NPCs play important roles in the implementation of MOUDs, and while efforts to increase their knowledge of and exposure to MOUDs have contributed broadly to more favorable attitudes toward MOUDs among NPCs, this study's findings indicate that additional efforts are still needed, particularly among NPCs who work in rural settings. Findings also indicate that, among rural clinicians, increasing knowledge of and exposure to harm reduction principles may be a necessary prerequisite to engaging them in the implementation of specific harm reduction strategies such as MOUDs.

Waiting times disparities for medication-assisted therapy among opioid use disorder treatment population in the United States

Opioid use disorder (OUD) treatment has been described as beneficial in reducing the burden of OUD and its related complications. Thus far, there is a paucity of literature on the time-to-treatment differences from the period of seeking treatment to when the patient starts treatment. Hence, it is deemed a form of barrier to the accessibility of OUD treatment programs. We aim to study the relationship between accessibility for medication-assisted treatment and the disparity concerning days waiting to enter OUD treatment. The treatment episode data set (TEDS) was utilized for this study. The full sample of 2018 TEDS-D (N = 382,547) is representative of OUD patients that utilized SUD treatment facilities within the 50 states of the United States. Univariate and multivariable logistic analysis of the independent variables, and other covariates with the dependent variables were explored to estimate the adjusted odds ratio relationship. Medication-assisted opioid therapy use among respondents was significantly different with waiting 1-7 days [AOR = 1.321 (95% CI = 1.248-1.400)] and >7 days [AOR = 0.729 (95% CI = 0.665-0.799)] to enter OUD treatment compared to waiting for less than a day. Among adults seeking OUD treatment admissions, our study showed that waiting times vary with MAT use as there was early entry compared to >1week wait time. Similarly, significant associations were reported across different sociodemographic attributes except for biological sex.

Technology-Assisted Buprenorphine Treatment in Rural and Nonrural Settings: Two Randomized Clinical Trials

Importance

Expansion of opioid use disorder treatment is needed, particularly in rural communities.

Objective

To evaluate technology-assisted buprenorphine (TAB) efficacy (1) over a longer period than previously examined, (2) with the addition of overdose education, and (3) among individuals residing in rural communities.

Design, Setting, and Participants

Two parallel, 24-week randomized clinical trials were conducted at the University of Vermont between February 1, 2018, and June 30, 2022. Participants were adults with untreated opioid use disorder from nonrural (trial 1) or rural (trial 2) communities. These trials are part of a programmatic effort to develop TAB protocols to improve treatment availability in underserved areas.

Interventions

Within each trial, 50 participants were randomized to TAB or control conditions. Participants in the TAB group completed bimonthly visits to ingest medication and receive take-home doses via a computerized device. They received nightly calls via an interactive voice response (IVR) system, IVR-generated random call-backs, and iPad-delivered HIV, hepatitis C virus (HCV), and overdose education. Control participants received community resource guides and assistance with contacting resources. All participants received harm reduction supplies and completed monthly assessments.

Main Outcomes and Measures

The primary outcome was biochemically verified illicit opioid abstinence across monthly assessments. Secondary outcomes included self-reported opioid use in both groups and abstinence at bimonthly and random call-back visits, treatment adherence, satisfaction, and changes in HIV, HCV, and overdose knowledge among TAB participants.

Results

Fifty individuals (mean [SD] age, 40.6 [13.1] years; 28 [56.0%] male) participated in trial 1, and 50 (mean [SD] age, 40.3 [10.8] years; 30 [60.0%] male) participated in trial 2. Participants in the TAB group achieved significantly greater illicit opioid abstinence vs controls at all time points in both trial 1 (85.3% [128 of 150]; 95% CI, 70.7%-93.3%; vs 24.0% [36 of 150]; 95% CI, 13.6%-38.8%) and trial 2 (88.0% [132 of 150]; 95% CI, 72.1%-95.4%; vs 21.3% [32 of 150]; 95% CI, 11.4%-36.5%). High abstinence rates were also observed at TAB participants' bimonthly dosing visits (83.0% [95% CI, 67.0%-92.0%] for trial 1 and 88.0% [95% CI, 71.0%-95.0%] for trial 2). Treatment adherence was favorable and similar between trials (with rates of approximately 99% for buprenorphine administration, 93% for daily IVR calls, and 92% for random call-backs), and 183 of 187 urine samples (97.9%) tested negative for illicit opioids at random call-backs. iPad-delivered education was associated with significant and sustained increases in HIV, HCV, and overdose knowledge.

Conclusions and Relevance

In these randomized clinical trials of TAB treatment, demonstration of efficacy was extended to a longer duration than previously examined and to patients residing in rural communities.

Trial Registration

ClinicalTrials.gov Identifier: NCT03420313.

Opioid use and COVID-19: a secondary analysis of the impact of relaxation of methadone take-home dosing guidelines on use of illicit opioids

Background: An exemption to existing U.S. regulation of methadone maintenance therapy after the onset of the COVID-19 pandemic permitted increased take-home doses beginning March 2020.Objectives: We assessed the impact of this exemption on opioid use.Methods: A pre/post study of 187 clients recruited from an OTP who completed a survey and consented to share their urine drug testing (UDT) data. Use of fentanyl, morphine, hydromorphone, codeine, and heroin was assessed via UDT. Receipt of take-home methadone doses was assessed from clinic records for 142 working days pre- and post-COVID exemption. Analysis was conducted using a linear regression model to assess the association between increased take-home doses and use of illicit opioids.Results: In the pre- vs. post-COVID-19 SAMHSA exemption periods, 26.2% vs. 36.3% of UDTs were positive for 6-acetylmorphine respectively, 32.6% vs. 40.6% positive for codeine, 34.2% vs 44.2% positive for hydromorphone, 39.5% vs. 48.1% positive for morphine, 8.0% vs. 14.4% positive for fentanyl (p-value < .001). However, in the unadjusted descriptive data, when grouped by change in substance use, those clients who experienced a decrease in the use of morphine, codeine, and heroin post-COVID-19 were given significantly more take-home doses than the groups that had no change or an increase in the use of these substances. In the adjusted model, there was no significant relationship between change in opioid use and increased receipt of take-home methadone doses.Conclusions: Although take-home doses post-COVID-19 nearly doubled, this increase was not associated with a significant change in use of illicit opioids.

Inequities in the treatment of opioid use disorder: A scoping review

BACKGROUND

Given the lack of access to evidenced-based OUD treatment and the corresponding overdose crisis, researchers must evaluate and report health care inequities involving the treatment of OUD. Additionally, clinicians should be aware of these inequities in the treatment of patients.

METHODS

We carried out a scoping review of the literature regarding health inequities in treatment for OUD in July 2022. The study team retrieved articles published between 2016 and 2021 from MEDLINE and Ovid Embase. After authors received training, screening and data extraction were performed in masked, duplicate fashion. The team screened a total of 3673 titles and abstracts, followed by 172 articles for full-text review. The inequities that we examined were race/ethnicity, sex or gender, income, under-resourced/rural, occupational status, education level, and LGBTQ+. We used Stata 17.0 (StataCorp, LLC, College Station, TX) to summarize data and statistics of the studies within our sample.

RESULTS

A total of 44 studies evaluating inequities in OUD treatment met inclusion criteria. The most common inequity that studies examined was race/ethnicity (34/44 [77.27 %] studies), followed by under-resourced/rural (19/44 [43.18 %] studies), and sex or gender (18/44 [40.91 %] studies). LGBTQ+ (0/44 [0.0 %] studies) was not reported in the included studies. Our results indicate that many historically marginalized populations experience inequities related to access and outcomes in OUD treatment. The included studies in our scoping review occasionally demonstrated inconsistent findings.

CONCLUSIONS

Gaps exist within the literature on health inequities in treatment for OUD. The most examined inequities were race/ethnicity, under-resourced/rural and sex or gender, while studies did not examine LGBTQ+ status. Future research should aim to advance and supplement literature investigating health inequities in OUD treatment to ensure inclusive, patient-centered care.

Methamphetamine use and utilization of medications for opioid use disorder among rural people who use drugs

BACKGROUND

Methamphetamine use is common among persons with opioid use disorder. This study evaluated associations between methamphetamine use and treatment with agonist medications for opioid use disorder (MOUD, specifically buprenorphine, and/or methadone) in U.S. rural communities.

METHODS

The Rural Opioid Initiative (ROI) is a consortium spanning 10 states and 65 rural counties that included persons who reported past 30-day use of opioids and/or injection drug use between 1/2018 and 3/2020. Analyses were restricted to participants who had ever used opioids and had data on past 30-day methamphetamine use. Multivariable models examined the relationship between methamphetamine use and utilization of agonist MOUD.

RESULTS

Among 2899 participants, 2179 (75.2%) also reported recent methamphetamine use. Persons with methamphetamine use compared to those without were younger, more likely to have injected drugs, be unhoused, criminal justice involved, and less likely to have health insurance. Adjusted for age, sex, race, and study site, recent methamphetamine use was associated with lower relative odds of past 30-day methadone treatment (aOR=0.66; 95% CI: 0.45-0.99) and fewer methadone treatment days (aIRR=0.76; 0.57-0.99), but not past 30-day buprenorphine receipt (aOR=0.90; 0.67-1.20), buprenorphine treatment days in past 6 months: aIRR=0.88; 0.69-1.12) or perceived inability to access buprenorphine (aOR=1.12; 0.87-1.44) or methadone (aOR=1.06; 0.76-1.48).

CONCLUSION

Methamphetamine use is common among persons who use opioids in rural U.S. areas and negatively associated with current treatment and retention on methadone but not buprenorphine. Future studies should examine reasons for this disparity and reduce barriers to methadone for persons who use opioids and methamphetamine.

Changes to methadone maintenance therapy in the United States, Canada, and Australia during the COVID-19 pandemic: A narrative review

INTRODUCTION

In response to the COVID-19 pandemic, countries across the world made adaptations to policies regulating the provision of methadone maintenance therapy (MMT) to facilitate social distancing for health care providers and people in treatment. Many countries issued guidance about increasing take-home methadone doses after the onset of the pandemic.

METHODS

In this review, we compare the regulation of MMT prior to the pandemic in the United States, Canada, and Australia, analyze changes to treatment policy in the context of COVID-19, and review emerging data on treatment outcomes.

RESULTS

The United States only permits the prescription and disbursement of methadone for MMT treatment at federally designated opioid treatment programs (OTPs). Conversely, Australia and Canada operate on a community pharmacy-based distribution model, where patients can access methadone doses either in participating pharmacies or in some methadone clinics.

CONCLUSION

Given reports of similar treatment outcomes and increased patient satisfaction since the pandemic-related policy changes, some changes including increased receipt of take-home doses should be considered for incorporation into post-pandemic treatment policies and regulations.

Noninferiority Clinical Trial of Adapted START NOW Psychotherapy for Outpatient Opioid Treatment

Background

Medications for opioid use disorder (MOUD) such as buprenorphine is effective for treating opioid use disorder (OUD). START NOW (SN) is a manualized, skills-based group psychotherapy originally developed and validated for the correctional population and has been shown to result in reduced risk of disciplinary infractions and future psychiatric inpatient days with a dose response effect. We investigate whether adapted START NOW is effective for treating OUD in a MOUD office-based opioid treatment (OBOT) setting in this non-inferiority clinical trial.

Methods

Patients enrolled in once weekly buprenorphine/suboxone MOUD OBOT were eligible for enrollment in this study. Participants were cluster-randomized, individually-randomized, or not randomized into either START NOW psychotherapy or treatment-as-usual (TAU) for 32 weeks of therapy. Treatment effectiveness was measured as the number of groups attended, treatment duration, intensity of attendance, and overall drug use as determined by drug screens.

Results

137 participants were quasi-randomized to participate in SN (n = 79) or TAU (n = 58). Participants receiving START NOW psychotherapy, when compared to TAU, had comparable number of groups attended (16.5 vs. 16.7, p = 0.80), treatment duration in weeks (24.1 vs. 23.8, p = 0.62), and intensity defined by number of groups attended divided by the number of weeks to last group (0.71 vs. 0.71, p = 0.90). SN compared to TAU also had similar rates of any positive drug screen result (81.0% vs. 91.4%, p = 0.16). This suggests that adapted START NOW is noninferior to TAU, or the standard of care at our institution, for treating opioid use disorder.

Conclusion

Adapted START NOW is an effective psychotherapy for treating OUD when paired with buprenorphine/naloxone in the outpatient group therapy setting. Always free and publicly available, START NOW psychotherapy, along with its clinician manual and training materials, are easily accessible and distributable and may be especially useful for low-resource settings in need of evidence-based psychotherapy.

Telemedicine-delivered treatment for substance use disorder: A scoping review

INTRODUCTION

The COVID pandemic prompted a significant increase in the utilization of telemedicine (TM) for substance use disorder (SUD) treatment. As we transition towards a "new normal" policy, it is crucial to comprehensively understand the evidence of TM in SUD treatment. This scoping review aims to summarize existing evidence regarding TM's acceptability, quality, effectiveness, access/utilization, and cost in the context of SUD treatment in order to identify knowledge gaps and inform policy decisions regarding TM for SUDs.

METHOD

We searched studies published in 2012-2022 from PubMed, Cochrane Library, Embase, Web of Science, and other sources. Findings were synthesized using thematic analysis.

RESULTS

A total of 856 relevant articles were screened, with a final total of 42 articles included in the review. TM in SUD treatment was perceived to be generally beneficial and acceptable. TM was as effective as in-person SUD care in terms of substance use reduction and treatment retention; however, most studies lacked rigorous designs and follow-up durations were brief (≤3 months). Telephone-based TM platforms (vs video) were positively associated with older age, lower education, and no prior overdose. Providers generally consider TM to be affordable for patients, but no relevant studies were available from patient perspectives.

CONCLUSIONS

TM in SUD treatment is generally perceived to be beneficial and acceptable and as effective as in-person care, although more rigorously designed studies on effectiveness are still lacking. Access and utilization of TM may vary by platform. TM service quality and costs are the least studied and warrant further investigations.

Racial and ethnic disparities in emergency department-initiated buprenorphine across five health care systems

BACKGROUND

Opioid overdose deaths have disproportionately impacted Black and Hispanic populations, in part due to disparities in treatment access. Emergency departments (EDs) serve as a resource for patients with opioid use disorder (OUD), many of whom have difficulty accessing outpatient addiction programs. However, inequities in ED treatment for OUD remain poorly understood.

METHODS

This secondary analysis examined racial and ethnic differences in buprenorphine access using data from EMBED, a study of 21 EDs across five health care systems evaluating a clinical decision support system for initiating ED buprenorphine. The primary outcome was receipt of buprenorphine, ED administered or prescribed. Hospital type (academic vs. community) was evaluated as an effect modifier. Hierarchical models with cluster effects for site and clinician were used to assess buprenorphine receipt by race and ethnicity.

RESULTS

Black patients were less likely to receive buprenorphine (6.4% [51/801] vs. White patients 8.5% [268/3154], odds ratio [OR] 0.59, 95% confidence interval [CI] 0.45-0.78). This association persisted after adjusting for age, insurance, gender, clinician X-waiver, hospital type, and urbanicity (adjusted OR [aOR] 0.64, 95% CI 0.48-0.84) but not when discharge diagnosis was included (aOR 0.75, 95% CI 0.56-1.02). Hispanic patients were more likely to receive buprenorphine (14.8% [122/822] vs. non-Hispanic patients, 11.6% [475/4098]) in unadjusted (OR 1.57, 95% CI 1.09-1.83) and adjusted models (aOR 1.41, 95% CI 1.08-1.83) but not including discharge diagnosis (aOR 1.32, 95% CI 0.99-1.77). Odds of buprenorphine were similar in academic and community EDs by race (interaction p = 0.97) and ethnicity (interaction p = 0.64).

CONCLUSIONS

Black patients with OUD were less likely to receive buprenorphine whereas Hispanic patients were more likely to receive buprenorphine in academic and community EDs. Differences were attenuated with discharge diagnosis, as fewer Black and non-Hispanic patients were diagnosed with opioid withdrawal. Barriers to medication treatment are heterogenous among patients with OUD; research must continue to address the multiple drivers of health inequities at the patient, clinician, and community level.

Spatial access to buprenorphine-waivered prescribers in the HEALing communities study: Enhanced 2-step floating catchment area analyses in Massachusetts, Ohio, and Kentucky

INTRODUCTION

The opioid overdose epidemic continues to impact a large swath of the population in the US. Medications for opioid use disorders (MOUD) are an effective resource to combat the epidemic; however, there is limited research on MOUD treatment access that accounts for both supply of and demand for services. We aimed to examine access to buprenorphine prescribers in the HEALing Communities Study (HCS) Wave 2 communities in Massachusetts, Ohio, and Kentucky during 2021, and the association between buprenorphine access and opioid-related incidents, specifically fatal overdoses and opioid-related responses by emergency medical services (EMS).

METHODS

We calculated Enhanced 2-Step Floating Catchment Area (E2SFCA) accessibility indices for each state, as well as Wave 2 communities in each state, based on the location of providers (buprenorphine-waivered clinicians from the US Drug Enforcement Agency Active Registrants database), population-weighted centroids at the census block group level, and catchment areas defined by the state or community's average commute time. In advance of intervention initiation, we quantified the opioid-related risk environment of communities. We assessed gaps in services by using bivariate Local Moran's I analysis, incorporating accessibility indices and opioid-related incident data.

RESULTS

Massachusetts Wave 2 HCS communities had the highest rates of buprenorphine prescribers per 1000 patients (median: 165.8) compared to Kentucky (38.8) and Ohio (40.1). While urban centers in all three states had higher E2SFCA index scores compared to rural communities, we observed that suburban communities often had limited access. Through bivariate Local Moran's I analysis, we identified numerous locations with low buprenorphine access surrounded by high opioid-related incidents, particularly in communities that surrounded Boston, Massachusetts; Columbus, Ohio; and Louisville, Kentucky.

CONCLUSION

Rural communities demonstrated a great need for additional access to buprenorphine prescribers. However, policymakers should also direct attention toward suburban communities that have experienced significant increases in opioid-related incidents.

Biopsychosocial contexts of timely and adequate prenatal care utilization among women with criminal legal involvement and opioid use disorder

OBJECTIVE

Pregnant women with criminal legal involvement and opioid use disorder (CL-OUD) living in non-urban regions may be at risk for complex biomedical, psychological, and social barriers to prenatal care and healthy pregnancy. Yet, limited research has explored prenatal care utilization patterns among this subpopulation. This study describes the biopsychosocial factors of pregnant women with a history of criminal legal involvement and opioid use disorder (CL-OUD) associated with timely prenatal care initiation and adequate prenatal care utilization (APNCU).

METHODS

Analyses were conducted on a subsample of medical record data from an observational comparative effectiveness study of medication treatment models for pregnant women with diagnosed opioid use disorder (OUD) who received prenatal care in Northern New England between 2015 and 2022. The subsample included women aged ≥ 16 years with documented criminal legal involvement. Analyses included χ2, Fisher exact tests, and multiple logistic regression to assess differences in timely prenatal care and APNCU associated with biopsychosocial factors selected by backwards stepwise regression.

RESULTS

Among 317 women with CL-OUD, 203 (64.0%) received timely prenatal care and 174 (54.9%) received adequate care. Timely prenatal care was associated with having two or three prior pregnancies (aOR 2.37, 95% CI 1.07-5.20), receiving buprenorphine at care initiation (aOR 1.85, 95% CI 1.01-3.41), having stable housing (aOR 2.49, 95% CI 1.41-4.41), and being mandated to court diversion (aOR 4.06, 95% CI 1.54-10.7) or community supervision (aOR 2.05, 95% CI 1.16-3.63). APNCU was associated with having a pregnancy-related medical condition (aOR 2.17, 95% CI 1.27-3.71), receiving MOUD throughout the entire prenatal care period (aOR 3.40, 95% CI 1.45-7.94), having a higher number of psychiatric diagnoses (aOR 1.35, 95% CI 1.07-1.70), attending a rurally-located prenatal care practice (aOR 2.14, 95% CI 1.22-3.76), having stable housing (aOR 1.94, 95% CI 1.06-3.54), and being mandated to court diversion (aOR 3.11, 95% CI 1.19-8.15).

CONCLUSION

While not causal, results suggest that timely and adequate prenatal care among women with CL-OUD may be supported by OUD treatment, comorbid indications for care, stable access to social resources, and maintained residence in the community (i.e., community-based alternatives to incarceration).

An external exposome-wide association study of opioid use disorder diagnosed during pregnancy in Florida

The prevalence of opioid use disorder (OUD) during pregnancy has quadrupled in recent years and widely varies geographically in the US. However, few studies have examined which environmental factors are associated with OUD during pregnancy. We conducted an external exposome-wide association study (ExWAS) to investigate the associations between external environmental factors and OUD diagnosed during pregnancy. Data were obtained from a unique, statewide database in Florida comprising linked individual-level birth and electronic health records. A total of 255,228 pregnancies with conception dates between 2012 and 2016 were included. We examined 82 exposome measures characterizing seven aspects of the built and social environment and spatiotemporally linked them to each individual record. A two-phase procedure was utilized for the external ExWAS. In Phase 1, we randomly divided the data into a discovery set (50 %) and a replication set (50 %). Associations between exposome measures (normalized and standardized) and OUD initially diagnosed during pregnancy were examined using logistic regression. A total of 15 variables were significant in both the discovery and replication sets. In Phase 2, multivariable logistic regression was used to fit all variables selected from Phase 1. Measures of walkability (the national walkability index, OR: 1.23, 95 % CI: 1.17, 1.29), vacant land (the percent vacant land for 36 months or longer, OR: 1.06, 95 % CI: 1.00, 1.12) and food access (the percentage of low food access population that are seniors at 1/2 mile, OR: 1.47, 95 % CI: 1.38, 1.57) were each associated with diagnosis of OUD during pregnancy. This is the first external ExWAS of OUD during pregnancy, and the results suggest that low food access, high walkability, and high vacant land in under-resourced neighborhoods are associated with diagnosis of OUD during pregnancy. These findings could help develop complementary tools for universal screening for substance use and provide direction for future studies.

Availability of timely methadone treatment in the United States and Canada during COVID-19: A census tract-level analysis

OBJECTIVES

We sought to compare timely access to methadone treatment in the United States (US) and Canada during the COVID-19 pandemic.

METHODS

We conducted a cross-sectional study of census tracts and aggregated dissemination areas (used for rural Canada) within 14 US and 3 Canadian jurisdictions in 2020. We excluded census tracts or areas with a population density of less than one person per square km. Data from a 2020 audit of timely medication access was used to determine clinics accepting new patients within 48 h. Unadjusted and adjusted linear regressions were performed to examine the relationship between area population density and sociodemographic covariates and three outcome variables: 1) driving distance to the nearest methadone clinic accepting new patients, 2) driving distance to the nearest methadone clinic accepting new patients for medication initiation within 48 h, and 3) the difference in the driving distance between the first and second outcome.

RESULTS

We included 17,611 census tracts and areas with a population density greater than one person per square kilometer. After adjusting for area covariates, US jurisdictions were a median of 11.6 miles (p value <0.001) further from a methadone clinic accepting new patients and 25.1 miles (p value <0.001) further from a clinic accepting new patients within 48 h than Canadian jurisdictions.

CONCLUSIONS

These results suggest that the more flexible Canadian regulatory approach to methadone treatment is associated with a greater availability of timely methadone treatment and reduced urban-rural disparity in availability, compared to the US.

Implementation of Telemedicine Delivery of Medications for Opioid Use Disorder in Pennsylvania Treatment Programs During COVID-19

INTRODUCTION

Temporary policy changes during the coronavirus disease 2019 pandemic facilitated rapid expansion of medication for opioid use disorder via telemedicine (tele-MOUD). Evidence for tele-MOUD best practices and its impact on treatment engagement and retention remains limited. This quality improvement initiative compared tele-MOUD implementation among Pennsylvania medication for opioid use disorder (MOUD) programs, evaluated sociodemographic characteristics of patients using tele-MOUD, and described trends in tele-MOUD use and patient engagement and retention.

METHODS

Five health systems with MOUD programs completed questionnaires regarding their tele-MOUD models and provided aggregated sociodemographic data for MOUD patients with in-person and telemedicine visits in 2020. Three programs provided aggregated monthly appointment data (scheduled, completed, no-show, tele-MOUD visits) over the period in which tele-MOUD scaled up.

RESULTS

Differences in tele-MOUD protocols related to provision of tele-MOUD inductions, patient eligibility for tele-MOUD, and operationalization of remote drug testing. Across programs, 88% of prescribers conducted tele-MOUD appointments, and 50% of patients used tele-MOUD in 2020. We observed sociodemographic differences, with a greater proportion of female, White, and non-Hispanic patients using tele-MOUD. Across programs with appointment data, overall patient enrollment increased, and new patient enrollment remained relatively constant. Engagement trends suggested a temporary decline in no-show appointments that aligned with the escalation of tele-MOUD in one program.

CONCLUSIONS

Tele-MOUD protocol differences indicate a need for research to inform evidence-based guidance. Findings suggest that patients largely remained engaged and retained in MOUD as tele-MOUD was implemented but reveal inequities in tele-MOUD use, highlighting the need for efforts to overcome technology access barriers and avoid exacerbating disparities in MOUD access.

Cost-effectiveness of office-based buprenorphine treatment for opioid use disorder

AIM

To assess the effectiveness and cost-effectiveness of office-based buprenorphine treatment (OBBT) in the U.S.

DESIGN SETTING AND PARTICIPANTS

We performed a model-based analysis of buprenorphine treatment provided in a primary care setting for the U.S. population with OUD.

INTERVENTION

Buprenorphine treatment provided in a primary care setting.

MEASUREMENTS

Fatal and nonfatal overdoses and deaths over five years, discounted lifetime quality-adjusted life years (QALYs), costs.

FINDINGS

For a cohort of 100,000 untreated individuals who enter OBBT, approximately 9350 overdoses would be averted over five years; of these, approximately 900 would have been fatal. OBBT compared to no treatment would yield 1.07 incremental lifetime QALYs per person at an incremental cost of $17,000 per QALY gained when using a healthcare perspective. If OBBT is half as effective and twice as expensive as assumed in the base case, the incremental cost when using a healthcare perspective is $25,500 per QALY gained. Using a limited societal perspective that additionally includes patient costs and criminal justice costs, OBBT is cost-saving compared to no treatment even under pessimistic assumptions about efficacy and cost.

CONCLUSIONS

Expansion of OBBT would be highly cost-effective compared to no treatment when considered from a healthcare perspective, and cost-saving when reduced criminal justice costs are included. Given the continuing opioid crisis in the U.S., expansion of this care option should be a high priority.

History of the discovery, development, and FDA-approval of buprenorphine medications for the treatment of opioid use disorder

Buprenorphine-based medications were first approved by the United States Food and Drug Administration in 2002 for the treatment of opioid dependence, or opioid use disorder (OUD) as the condition is presently known. This regulatory milestone was the outcome of 36 years of research and development, which also led to the development and approval of several other new buprenorphine-based medications. In this short review, we first describe the discovery and early development stages of buprenorphine. Second, we review key steps that led to the development of buprenorphine as a drug product. Third, we explain the regulatory approval of several buprenorphine-based medications for the treatment of OUD. We also discuss these developments in the context of the evolution of regulations and policies that have progressively improved OUD treatment availability and efficacy, although challenges remain in removing system-level, provider-level, and local-level barriers to quality treatment, to integrating OUD treatment into routine care and other settings, to reducing disparities in access to treatment, and to optimizing person-centered outcomes.

Delivering transcutaneous auricular neurostimulation (tAN) to improve symptoms associated with opioid withdrawal: results from a prospective clinical trial

Background

As pharmacological treatments are the primary option for opioid use disorder, neuromodulation has recently demonstrated efficacy in managing opioid withdrawal syndrome (OWS). This study investigated the safety and effectiveness of transcutaneous auricular neurostimulation (tAN) for managing OWS.

Methods

This prospective inpatient trial included a 30-minute randomized, sham-controlled, double-blind period followed by a 5-day open-label period. Adults with physical dependence on opioids were randomized to receive active or sham tAN following abrupt opioid discontinuation. The Clinical Opiate Withdrawal Scale (COWS) was used to determine withdrawal level, and participants were required to have a baseline COWS score ≥ 13 before enrollment. The double-blind period of the study occurred during the first 30-minutes to assess the acute effects of tAN therapy compared to a sham control. Group 1 received active tAN during both the 30-minute double-blind period and the 5-day open-label period. Group 2 received passive sham tAN (no stimulation) during the double-blind period, followed by active tAN during the 5-day open-label period. The primary outcome was change in COWS from baseline to 60-minutes of active tAN (pooled across groups, accounting for 30-minute delay). Secondary outcomes included difference in change in COWS scores between groups after 30-minutes of active or sham tAN, change in COWS scores after 120-minutes of active tAN, and change in COWS scores on Days 2–5. Non-opioid comfort medications were administered during the trial.

Results

Across all thirty-one participants, the mean (SD) COWS scores relative to baseline were reduced by 7.0 (4.7) points after 60-minutes of active tAN across both groups (p < 0.0001; Cohen’s d = 2.0), demonstrating a significant and clinically meaningful reduction of 45.9%. After 30-minutes of active tAN (Group 1) or sham tAN (Group 2), the active tAN group demonstrated a significantly greater COWS score reduction than the sham tAN group (41.7% vs. 24.1%; p = 0.036). Participants across both groups achieved an average COWS reduction up to 74.7% on Days 2–5.

Conclusion

Results demonstrate tAN is a safe and effective non-opioid approach for reducing symptoms of OWS. This study supported an FDA clearance.

Clinical trial registration

clinicaltrials.gov/ct2/show/NCT04075214, Identifier: NCT04075214, Release Date: August 28, 2019.

Changes in Buprenorphine and Methadone Supplies in the US During the COVID-19 Pandemic

Importance

The opioid crisis has been exacerbated by the COVID-19 pandemic in the US, with concerns over major disruptions to medication treatment of opioid use disorder.

Objective

To investigate whether the COVID-19 pandemic was associated with disruption of buprenorphine and methadone supplies in the US.

Design, Setting, and Participants

This repeated cross-sectional study used ARCOS (Automated Reports and Consolidated Ordering System) data, which monitor the flow of controlled substances in the US, from January 1, 2012, through June 30, 2021. Manufacturers and point of sale or distribution at the dispensing or retail level, including hospitals, retail pharmacies, clinicians, midlevel clinicians, and teaching institutions, were included in the analysis.

Exposures

COVID-19 pandemic.

Main Outcomes and Measures

Quarterly supplies of buprenorphine and methadone per capita in milligrams.

Results

The per capita supply of methadone dropped from 13.2 mg in the first quarter of 2020 to 10.5 mg in the second quarter of 2020, whereas the per capita supply of buprenorphine increased from 3.6 mg to 3.7 mg in the same period. The per capita supply of methadone declined 20% (-2.7 mg) in the second quarter of 2020 compared with the first quarter of 2020, and the supply had not returned to 2019 levels as of June 2021, whereas the supply of buprenorphine per person increased consistently during the same period. There were considerable state disparities in the reduction of the methadone supply during the pandemic, with many states experiencing pronounced per capita supply decreases, including reductions as great as 50% in New Hampshire and Florida. These decreases in per capita methadone supply were not compensated by proportional increases in the per capita buprenorphine supply (linear fit, 0.17 [95% CI, -0.43 to 0.76]; P = .47).

Conclusions and Relevance

This cross-sectional study of buprenorphine and methadone supplies during the COVID-19 pandemic found a pronounced decline in the methadone supply but no disruption to the buprenorphine supply. Future research is needed to explain the pronounced state disparities in the methadone supply.

Geographic disparities in access to Medication for Opioid Use Disorder across US census tracts based on treatment utilization behavior

Drug overdose is the leading cause of accidental death in the U.S. with deaths from opioid overdose occurring at a higher rate in rural areas. The gaps in the provision of healthcare services have been exacerbated by the opioid crisis leaving vulnerable populations without access to preventative care and education, harm reduction, both chronic and acute treatment of the symptoms of opioid use disorder (OUD), and long-term psychological support for those with OUD and their families. There has been a call in the literature -and a federal mandate-for increased access to opioid treatment facilities, but to date this access has not been operationalized using best practices in geography. Medication for Opioid Use Disorder (MOUD) with FDA-approved methadone or buprenorphine has been shown to increase treatment retention, reduce opioid use and associated health and societal harms, and reduce opioid related overdose, and as such is considered the most effective treatment for OUD. The objective of this study is to examine U.S. adults' spatial access to MOUD - specifically locations of certified Opioid Treatment Programs (OTPs) and DATA-waived Buprenorphine providers. A gravity-based variant of the enhanced two-step floating catchment area model is employed, where friction of distance is based on previously published willingness to travel distances for patients visiting OTPs, to assess how opioid agonist treatment accessibility varies across the nation. Findings suggest that there are extensive 'treatment deserts' where there is little to no physical access to MOUD, especially in rural areas. The significance of this work lies in the incorporation of treatment utilization behavior in the access metric, and the continued confirmation of gaps in access to OUD services despite federal efforts to improve accessibility.

Variations in national availability of waivered buprenorphine prescribers by racial and ethnic composition of zip codes

BACKGROUND

Opioid overdose remains a public health crisis in diverse communities. Between 2019 and 2020, there was an almost 40% increase in drug fatalities primarily due to opioid analogues of both stimulants and opioids. Medications for opioid use disorder (MOUD; e.g., buprenorphine) are effective, evidence-based treatments that can be delivered in office-based primary care settings. We investigated disparities in the proportion of national prescribers who have obtained a waiver issued to prescribe MOUD by demographic characteristics.

METHODS

Data for the secondary data analyses were obtained from the Drug Enforcement Administration that maintains data on waivered MOUD prescribers across the US. Proportion of waivered prescribers were examined by ZIP code, race and ethnicity composition, socioeconomic status, insurance, and urban-rural designation using generalized linear mixed effects models.

RESULTS

Compared with predominantly Non-Hispanic White ZIP codes, other racially and ethnically diverse areas had a higher proportion of waivered buprenorphine prescribers. Differences in prescriber availability between predominant racial group was dependent on rurality based on the interaction found in our fitted model. In metropolitan areas, we found that predominantly Non-Hispanic White ZIP codes had a lower rate of waivered prescribers compared to predominantly Black/African American ZIP codes.

CONCLUSIONS

Our findings suggest that among AI/AN and Black/African American neighborhoods, availability of waivered prescribers may not be a primary barrier. However, availability of waivered prescribers and prescribing might potentially be an obstacle for Hispanic/Latinx and rural communities. Additional research to determine factors related to improving MOUD availability among diverse communities therefore remains vital to advancing health equity.

Changes in transmucosal buprenorphine utilization for opioid use disorder treatment during the COVID-19 pandemic in Kentucky

PURPOSE

With surging opioid-involved overdoses, maintaining access to opioid use disorder (OUD) treatment is critical during the COVID-19 pandemic. We examined changes in transmucosal buprenorphine prescribing for OUD treatment in Kentucky after the national COVID-19 emergency declaration, with a focus on rural-urban differences.

METHODS

Using 2019-2020 prescription monitoring data, we performed segmented regression analysis for an interrupted time series design to evaluate changes in weekly rates (per 100,000 residents) of dispensed prescriptions, unique individuals with dispensed prescriptions, and average days' supply for dispensed prescriptions of transmucosal buprenorphine.

FINDINGS

The weekly rates of dispensed prescriptions and unique individuals with dispensed prescriptions were higher for rural residents than urban residents. After the national COVID-19 emergency declaration, rural and urban residents experienced similar immediate drops in the rate of dispensed prescriptions (rural -33.4; urban -24.3) and unique patients with dispensed prescriptions (rural -25.0; urban -17.1), followed by similar sustained increases. Both measures surpassed the prepandemic levels in mid-June 2020. Patients residing in urban areas received averagely longer prescriptions at baseline (urban: 11.0 days; rural: 10.5 days). The average weekly days' supply increased in the week after the national emergency declaration, but the estimated increase was higher (P = .004) for urban (0.8 days) versus rural (0.5 days) residents.

CONCLUSIONS

Transmucosal buprenorphine utilization increased during the COVID-19 pandemic after experiencing interruption during the initial weeks of the pandemic. Future studies should evaluate the contribution of the relaxed telemedicine buprenorphine prescribing regulations during the COVID-19 national emergency on initiation and maintenance of buprenorphine treatment.

Comorbid Affective and Substance Use Disorders of Medicaid/Medicare Beneficiaries at an Opioid Treatment Program Serving Small Urban and Rural Communities

Objectives

Identify rates and correlates of comorbid affective and substance use disorders among an understudied population, Medicaid/Medicare beneficiaries receiving care at an opioid treatment program serving patients from small urban and rural areas. Examine whether past-year non-medical opioid use status differentiates comorbidity status.

Methods

A cross-sectional, venue-based design was used to recruit a convenience sample of patients treated with methadone for opioid use disorder. Measures were assessed across three domains: (1) demographic characteristics, (2) opioid use characteristics, and (3) comorbid disorders. Brief validated screeners categorized probable comorbid disorders. Bivariate analyses examined correlates of comorbid disorders and determined variable selection for multivariable analyses.

Results

In this sample (N = 210; mean age = 38.5 years; female = 62.2%; Non-Hispanic White race/ethnicity = 86.1%), comorbid disorders were common. Rates were as follows: current anxiety (48.1%), depression (41.1%), and PTSD (33.7%), and past-year stimulant (27.6%), marijuana (19.0%), alcohol (14.9%), and sedative (7.6%). In bivariate analyses, past-year non-medical opioid use and a greater accumulation of opioid use consequences were associated with most disorders. When including demographic and opioid use characteristics in multivariable analyses, past-year non-medical opioid use was associated with anxiety, PTSD, stimulant use disorder, and sedative use disorder.

Conclusions

Few studies have investigated comorbid disorders among this understudied population. This analysis highlights a high burden, especially for affective disorders. Our findings demonstrate that routine, ongoing assessment of non-medical opioid use may be a promising and feasible strategy to detect patients needing integrated care. Future research should investigate whether changes to assessment protocols at opioid treatment programs in small urban and rural settings facilitate care coordination.

A bridge too far? Distance to waivered physicians and utilization of buprenorphine treatment for opioid use disorder in West Virginia Medicaid

Background: Travel distance to medication treatment for opioid use disorder (OUD) is a challenge for many patients, but little is known about how distance is associated with medication treatment utilization. This study examines the association between distance to the nearest physician waivered to prescribe buprenorphine and patient-level buprenorphine treatment among West Virginia Medicaid expansion enrollees with diagnosed OUD. Methods: We conducted a cross-sectional spatial analysis with 2016 Medicaid claims data, separately examining individuals living in metropolitan and non-metropolitan areas. We calculated the driving distance from the centroid of patients' residential ZIP codes to the street address of the nearest waivered physician derived from the 2015 Drug Enforcement Administration listing. Regression models examined the association between distance and initiation and duration of buprenorphine (among those initiating). Results: We focused on 8,008 individuals with OUD in 2016. The nearest waivered prescriber in metropolitan areas was an average of 7.13 miles away from patients' residential ZIP codes and 14.54 miles in non-metropolitan areas. The providers they actually visited were a mean of 33.63 miles away in metro areas and 46.36 in non-metropolitan areas. In multivariable analyses, compared to those living <10 miles from a waivered physician, living >20 miles from a waivered physician was associated with -32.13 fewer days of treatment (95% CI: -57.86, -6.40) in metro areas and -16.70 fewer days in non-metro areas (95% CI: -32.32, -1.08). Conclusions: Longer travel distance to buprenorphine treatment is associated with a shorter duration of care that is likely to be clinically meaningful.

Assessment of Community-Level Vulnerability and Access to Medications for Opioid Use Disorder

IMPORTANCE

Given that COVID-19 and recent natural disasters exacerbated the shortage of medication for opioid use disorder (MOUD) services and were associated with increased opioid overdose mortality, it is important to examine how a community's ability to respond to natural disasters and infectious disease outbreaks is associated with MOUD access.

OBJECTIVE

To examine the association of community vulnerability to disasters and pandemics with geographic access to each of the 3 MOUDs and whether this association differs by urban, suburban, or rural classification.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study of zip code tabulation areas (ZCTAs) in the continental United States excluding Washington, DC, conducted a geospatial analysis of 2020 treatment location data.

EXPOSURES

Social vulnerability index (US Centers for Disease Control and Prevention measure of vulnerability to disasters or pandemics).

MAIN OUTCOMES AND MEASURES

Drive time in minutes from the population-weighted center of the ZCTA to the ZCTA of the nearest treatment location for each treatment type (buprenorphine, methadone, and extended-release naltrexone).

RESULTS

Among 32 604 ZCTAs within the continental US, 170 within Washington, DC, and 20 without an urban-rural classification were excluded, resulting in a final sample of 32 434 ZCTAs. Greater social vulnerability was correlated with longer drive times for methadone (correlation, 0.10; 95% CI, 0.09 to 0.11), but it was not correlated with access to other MOUDs. Among rural ZCTAs, increasing social vulnerability was correlated with shorter drive times to buprenorphine (correlation, -0.10; 95% CI, -0.12 to -0.08) but vulnerability was not correlated with other measures of access. Among suburban ZCTAs, greater vulnerability was correlated with both longer drive times to methadone (correlation, 0.22; 95% CI, 0.20 to 0.24) and extended-release naltrexone (correlation, 0.15; 95% CI, 0.13 to 0.17).

CONCLUSIONS AND RELEVANCE

In this study, communities with greater vulnerability did not have greater geographic access to MOUD, and the mismatch between vulnerability and medication access was greatest in suburban communities. Rural communities had poor geographic access regardless of vulnerability status. Future disaster preparedness planning should match the location of services to communities with greater vulnerability to prevent inequities in overdose deaths.

Types and Sources of Stigma on Opioid Use Treatment and Recovery Communities on Reddit

Background: Digitally-mediated peer support may improve opioid use disorder (OUD) recovery. Our objective was to examine the types and sources of stigma that people seek support for in online OUD recovery communities (subreddits) on Reddit. Methods: We extracted all posts containing stigma keywords from three subreddits as well as a random sample that do not contain stigma keywords. We conducted deductive content analysis to confirm that the post self-described an experience of stigma and identify the type (condition, intervention) and source (provider-based, public, self, structural) of stigma. Results: Two-hundred and fifty-nine posts self-reported a stigmatizing experience. The majority of posts described an intervention stigma associated with medications for OUD. Posts discussing intervention stigma acknowledged the role of stigma in their treatment decision-making and quality of their treatment program. The most frequent sources of stigma were the public (including family members), provider-based (healthcare and pharmacy workers), structural (workplace, law enforcement, child protective services, and abstinence-based self-help groups), and self. No posts mentioned courtesy stigma. Posts sought assistance in navigating their experiences and participating in advocacy to counter stigmatized narratives. Conclusions: Our study indicates that people in online communities seek support to disclose and manage experiences of stigma on Reddit in similar ways to people in offline communities with the noted exception of an absence of discussions of courtesy stigma. Since each subreddit is a microcosm of varying needs, we suggest areas of future work for collaborative resources developed between stakeholders of these subreddits and public health that work within the preexisting Reddit social norms.

Spatial proximity and access to buprenorphine or methadone treatment for opioid use disorder in a sample of people misusing opioids in Southern California

BACKGROUND

In response to the opioid crisis, over the last 10 years substantial strides have been made to increase the availability of evidence-based treatments for opioid use disorder, in particular buprenorphine maintenance, in the United States. Despite these worthwhile efforts, uptake rates of evidence-based treatment remain relatively low. As part of a broader study of opioid misuse, we examined proximity to evidence-based treatment as a potential barrier to treatment access.

METHODS

In 2017-2018, we surveyed 218 individuals misusing prescription opioids or using street opioids in three Southern Californian counties. The study calculated driving distance from place of residence to the closest treatment provider offering buprenorphine or methadone treatment for opioid use disorders.

RESULTS

Median distance to providers was 3.8 km (2.4 miles). Seventy one (33%) participants had received some form of treatment in the last 3 months; however, only 26 (40%) of these had received buprenorphine or methadone maintenance treatment. Participants receiving treatment at the time of their interview were traveling an average 16.8 km (10.4 miles) to reach treatment, indicating that as a group this population was both willing and able to seek and engage with treatment.

CONCLUSIONS

In the suburban and exurban communities in which our study was based, our findings suggest that simple physical proximity to providers of evidence-based treatment for opioid use disorder is no longer a critical barrier. Other barriers to uptake of buprenorphine or methadone maintenance treatment clearly remain and need to be addressed.

DISCLAIMER

Findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Identifying unique barriers to implementing rural emergency department-based peer services for opioid use disorder through qualitative comparison with urban sites

BACKGROUND

In an effort to address the current opioid epidemic, a number of hospitals across the United States have implemented emergency department-based interventions for engaging patients presenting with opioid use disorder. The current study seeks to address gaps in knowledge regarding implementation of a sub-type of such interventions, emergency department-based peer support services, in rural areas by comparing implementation of rural and urban programs that participated in Indiana's Recovery Coach and Peer Support Initiative (RCPSI).

METHODS

We conducted a secondary analysis of qualitative semi-structured implementation interviews collected as part of an evaluation of 10 programs (4 rural and 6 urban) participating in the RCPSI. We conducted interviews with representatives from each program at 3 time points over the course of the first year of implementation. Our deductive coding process was guided by the Consolidated Framework for Implementation Research (CFIR) and an external context taxonomy.

RESULTS

We identified key differences for rural programs corresponding to each of the 5 primary constructs in the coding scheme. (1) Intervention characteristics: rural sites questioned intervention fit with their context, required more adaptations, and encountered unexpected costs. (2) External context: rural sites were not appropriately staffed to meet patient needs, encountered logistical and legal barriers regarding patient privacy, and had limited patient transportation options. (3) Inner setting: rural sites lacked strong mechanisms for internal communication and difficulties integrating with pre-existing culture and climate. (4) Characteristics of individuals: some rural providers resisted working with peers due to pre-existing attitudes and beliefs. (5) Implementation process: rural sites spent more time identifying external partners and abandoned more components of their initial implementation plans.

CONCLUSIONS

Findings demonstrate how rural programs faced greater challenges implementing emergency department-based peer services over time. These challenges required flexible adaptations to originally intended plans. Rural programs likely require flexibility to adapt interventions that were developed in urban settings to ensure success considering local contextual constraints that were identified by our analysis.

Population-based estimates of geographic accessibility of medication for opioid use disorder by substance use disorder treatment facilities from 2014 to 2020

BACKGROUND

Understanding whether individuals have geographic accessibility to a substance use disorder treatment facility and a treatment facility that offers medication treatment for opioid use disorder (MOUD) can inform efforts to address the ongoing opioid crisis.

METHODS

We used data from the National Directory of Drug and Alcohol Abuse Treatment Programs. First, we calculate the national share of treatment facilities that offer one type of MOUD or all forms of MOUD using a novel dataset of providers. Second, we quantify the share of counties with a treatment facility offering at least one type of MOUD. Finally, we calculate the share of the national population residing within a 10-mile radius of a treatment facility.

RESULTS

The share of counties with a treatment facility offering a MOUD as a form of treatment rose from 30% to 45% from 2014 to 2020 while the share of counties with facilities offering all three forms of MOUD increased from 4% to 9%. Over 83% of the population lives within 10 miles of a facility offering MOUD treatment, and 42% of the population have a treatment facility that offers all three forms of MOUD within a 10-mile radius. Much of the difference between the county- and population-based measures is explained by more population dense areas having higher rates of facilities providing MOUD.

CONCLUSIONS

While the share of facilities within a county offering a MOUD is relatively small, the share of the population within 10 miles of such a facility is higher.

Posttraumatic stress disorder in individuals seeking treatment for opioid use disorder in Vermont

Posttraumatic stress disorder (PTSD) and opioid use disorder (OUD) may be associated with poor outcomes in rural areas where access to mental health services and opioid agonist treatment (OAT) is limited. This study examined the characteristics associated with a history of PTSD among a sample of individuals seeking buprenorphine treatment for OUD in Vermont, the second-most rural state in the US. Participants were 89 adults with OUD who participated in one of two ongoing randomized clinical trials examining the efficacy of an interim buprenorphine dosing protocol for reducing illicit opioid use during waitlist delays to OAT. Thirty-one percent of participants reported a history of PTSD. Those who did (PTSD+; n = 28) and did not (PTSD-; n = 61) report a history of PTSD were similar on sociodemographic and drug use characteristics. However, the PTSD+ group was less likely to have received prior OUD treatment compared to the PTSD- group (p = .02) despite being more likely to have a primary care physician (p = .009) and medical insurance (p = .002). PTSD+ individuals also reported greater mental health service utilization, more severe psychiatric, medical and drug use consequences, and greater pain severity and interference vs. PTSD- individuals (ps < 0.05). These findings indicate that a history of PTSD is prevalent and associated with worse outcomes among individuals seeking treatment for OUD in Vermont. Dissemination of screening measures and targeted interventions may help address the psychiatric and medical needs of rural individuals with OUD and a history of PTSD.

Geographic Disparities in Access to Specialty Care Programs for Early Psychosis in Washington State

Supported by the 10% set-aside funds in the Community Mental Health Block grant, distributed at the state level, coordinated specialty care (CSC) have been widely disseminated throughout the U.S. This study explores variations in the geographical accessibility of CSC programs by neighborhood level characteristics in Washington State. CSC locations were geocoded. Socioeconomic neighborhood deprivation (i.e., Area deprivation index) and rurality (i.e., Rural-Urban Commuting Area codes) were neighborhood level characteristics extracted from the 2018 American Community Survey. Geographic accessibility of CSC was assessed using a two-step floating catchment area technique and multilevel linear models were used to examine the association between specific neighborhood characteristics and geographic accessibility. The association between access and socioeconomically deprived neighborhoods varied differentially by neighborhood rurality (an interaction effect). Model estimates indicated that the least deprived, metropolitan neighborhoods had the best access (M = 0.38; CI: 0.34, 0.42) and rural neighborhoods in the second most deprived quartile had the worst access (M = 0.16; CI: 0.11, 0.21) to CSC. There was a clear decrease in accessibility for more rural neighborhoods, regardless of other neighborhood characteristics. In conclusions, findings provide important insight into how resource distribution contributes to geographic disparities in access to CSC. The use of spatial analytic techniques has the potential to identify specific neighborhoods and populations where there is a need to expand and increase availability of CSC to ensure access to rural and socioeconomically deprived neighborhoods.