INTRODUCTION:Access to medications for opioid use disorder (MOUD) varies across racial and ethnic groups. As the largest payer for MOUD, Medicaid has potential to ensure access for all enrollees. We aimed to quantify recent trends and state variation in MOUD use by race and ethnicity in Medicaid. METHODS:Using a distributed research network, we conducted a cross-sectional study of 11 states' Medicaid data from 2016 to 2020. Among enrollees diagnosed with opioid use disorder (OUD), we measured the percent receiving MOUD (overall; and methadone, buprenorphine, naltrexone, separately), continuity of MOUD for ≥180 days, and claims-based overdose event rates. We estimated logistic regression models in each state with fixed effects for year, race/ethnicity, and year and race/ethnicity interaction terms to examine changes in demographic differences in outcomes over time, adjusting for patient characteristics. We pooled estimates using random effects meta-analyses. RESULTS:Of the 542,414 enrollees with OUD in 2020, 430,891 (79.4%) were non-Hispanic white, 77,952 (14.4%) were non-Hispanic Black, 17,094 (3.2%) were Hispanic, and 16,477 (3.0%) had other race or ethnicity. MOUD use increased among enrollees in all racial and ethnic groups over time. The share of non-Hispanic white enrollees diagnosed with OUD receiving MOUD increased from 52.3% to 68.8% from 2016 to 2020 while the percent of non-Hispanic Black enrollees receiving MOUD from 37.2% to 49.7% during that period. Differences were widest for buprenorphine versus methadone or naltrexone. In adjusted analyses, Hispanic and Non-Hispanic Black enrollees were less likely to receive MOUD (adjusted odds ratios (AOR) = 0.67 [95 CI 0.49-0.91] and AOR = 0.41 [95 CI 0.33-0.52], respectively) compared to non-Hispanic white enrollees in 2016. Differences in receipt of MOUD did not change from 2016 to 2020. Non-Hispanic Black enrollees were less likely to have continuous MOUD relative to non-Hispanic white enrollees (AOR = 0.68 [95 CI 0.61-0.77)]. Overdose events peaked in 2017 for all racial and ethnic groups and were highest for Hispanic enrollees in 2020. CONCLUSION:MOUD increased among all racial and ethnic groups in 11 state Medicaid programs from 2016 to 2020. Yet, racial and ethnic differences in MOUD persisted, especially for buprenorphine. Our findings can inform Medicaid efforts to improve access to MOUD for all enrollees affected by OUD.

Importance:There are large racial and ethnic differences in the use of medications for opioid use disorder (MOUD). Whether differences in geographic availability of MOUD providers (defined in this study as buprenorphine prescribers, methadone dispensing opioid treatment programs, and naltrexone prescribers) contribute to these differences in Medicaid is unknown. Objective:To examine differential geographic availability of MOUD in Medicaid and whether it is associated with MOUD use. Design, Setting, and Participants:This cross-sectional study analyzed the geographic availability of Medicaid prescribers of MOUD in 2021, spanning 10 states (Delaware, Kentucky, Maryland, Maine, Michigan, North Carolina, Pennsylvania, Tennessee, Virginia, and West Virginia) in the Medicaid Outcomes Distributed Research Network. The study population included Medicaid enrollees aged 18 to 64 not enrolled in Medicare and their MOUD providers. The data analysis was conducted from December 2022 to April 2026. Exposures:Geographic availability was measured at the zip code level (number of MOUD providers available in Medicaid within a 15-minute drive time per 100 Medicaid enrollees). Main Outcomes and Measures:Main outcomes included the probability of buprenorphine, methadone, and naltrexone use as a function of enrollee race and ethnicity, whether they had above-median geographic availability, and interactions between above-median geographic availability and race and ethnicity. Results:The sample included 8 081 899 Medicaid enrollees; 472 409 (5.8%) had an OUD diagnosis. The population was 58.7% female and 41.3% male. Among the study population, 11.7% were aged 18 to 20 years, 39.5% were aged 21 to 34 years, 21.4% were aged 35 to 44 years, 14.5% were aged 45 to 54 years, and 12.9% were aged 55 to 64 years. Overall, 7.3% of the sample were Hispanic enrollees, 27.4% were non-Hispanic Black enrollees, 56.2% were non-Hispanic White enrollees, and 7.2% were enrollees from other racial and ethnic groups. Overall, 13 575 buprenorphine prescribers, 516 methadone dispensers, and 4801 naltrexone prescribers billed Medicaid. Median Medicaid MOUD providers available within a 15-minute drive were 0.89 per 100 enrollees for buprenorphine, 0.03 for methadone, and 0.32 for naltrexone. Above-median geographic availability of methadone was associated with a 0.99 (95% CI, 0.54-1.42)-percentage point increase in methadone use for non-Hispanic White enrollees; there was no such increase for non-Hispanic Black or Hispanic enrollees. Evidence of similar differences was limited for naltrexone. Above-median availability of buprenorphine was not associated with increased use of MOUD for any racial or ethnic group. Conclusions and Relevance:In this cross-sectional study of 10 state Medicaid programs, greater geographic availability of MOUD was associated with increased use only for methadone and, to a lesser extent, naltrexone. No racial and ethnic groups experienced gains in use associated with improved access. Additional strategies beyond addressing geographic access may be needed to close racial and ethnic gaps in MOUD.

Introduction: The HEALing Communities Study (HCS) tested a community-based intervention in 67 communities across Kentucky, Massachusetts, New York, and Ohio to reduce opioid overdose deaths. This paper introduces the HCS measures for monitoring the intervention uptake, reports crude rates for benchmarking, and highlights the importance of interpreting jurisdictional trends in the context of state policies. Methods: We present technical specifications for the HCS measures and the common data model. Crude rates for the evaluation period (July 2021-June 2022) are reported by state and study arm (intervention/Wave 1 or waitlisted/Wave 2 communities), along with longitudinal trends from 2017 to 2023. Year 2023 serves as a post-intervention period for Wave 1 communities and an intervention year for Wave 2 communities. Results: After unprecedented increases in 2020-2021, the HCS crude opioid overdose death rates declined in 2023, but remained higher than the 2019 pre-pandemic rates. Opioid overdose death rates exceeded 100/ 100,000 adults among Non-Hispanic Black individuals in several states. In response to the rapid increase in opioid overdose deaths in Kentucky, the HCS team expanded the naloxone distribution in Kentucky intervention communities, reaching a 10-fold increase in Quarter 3 of 2021 (1498.2 units/100,000 residents). The methadone medication for opioid use disorder (MOUD) treatment rate for Medicaid enrollees with opioid use disorder during the evaluation period was highest in Massachusetts intervention communities (274/1000), while the bupre-norphine MOUD treatment rate was highest in Kentucky (441/1000). Conclusions: The HCS measures support comprehensive planning and evaluation of population-level opioid overdose prevention interventions and policies.

Medications for opioid use disorder (MOUD) can reduce opioid use and overdose deaths. This study examined whether the Communities That HEAL (CTH) intervention increased MOUD initiation, retention, and linkage. The HEALing Communities Study was a multi-site, 2-arm, parallel, community-level, cluster-randomized, unblinded, wait-list controlled trial conducted in 67 communities (n = 34 intervention, n = 33 control). Using Prescription Drug Monitoring Programs and Medicaid claims data, we compared mean community-level rates of MOUD outcomes during the 1-year comparison period (July 2021-June 2022) for: (a) MOUD receipt at least once; (b) continuous MOUD receipt for 180 days; and (c) MOUD linkage within 31 days following an opioid-related emergency department or hospital encounter. For intervention and control communities, adjusted rates of receiving MOUD at least once were 578 (95 % CI: 562, 594) and 596 (95 % CI: 572, 621) per 1000 Medicaid enrollees, respectively [adjusted Relative Rate (aRR)= 0.97 (95 % CI: 0.93, 1.01)]. Adjusted rates of receiving MOUD for 180 consecutive days (retention) were 614 (95 % CI: 595, 634) and 620 (95 % CI: 603, 638) per 1000 Medicaid enrollees receiving MOUD at least once for intervention and control communities, respectively [aRR= 0.99 (95 % CI: 0.95, 1.04)]. The adjusted rate of linkage was 280 (95 % CI: 254, 310) and 252 (95 % CI: 226, 281) per 1000 encounters for intervention and control communities, respectively [aRR= 1.11 (95 % CI: 0.96, 1.28). Compared to control communities, communities that received the CTH intervention did not demonstrate higher rates of MOUD use, retention, or linkage. Additional efforts are needed to improve uptake and sustained use of MOUD. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04111939.

BACKGROUND Evidence-based practices for reducing opioid-related overdose deaths include overdose education and naloxone distribution, the use of medications for the treatment of opioid use disorder, and prescription opioid safety. Data are needed on the effectiveness of a community-engaged intervention to reduce opioid-related overdose deaths through enhanced uptake of these practices. METHODS In this community-level, cluster-randomized trial, we randomly assigned 67 communities in Kentucky, Massachusetts, New York, and Ohio to receive the intervention (34 communities) or a wait-list control (33 communities), stratified according to state. The trial was conducted within the context of both the coronavirus disease 2019 (Covid-19) pandemic and a national surge in the number of fentanyl-related overdose deaths. The trial groups were balanced within states according to urban or rural classification, previous overdose rate, and community population. The primary outcome was the number of opioid-related overdose deaths among community adults. RESULTS During the comparison period from July 2021 through June 2022, the population-averaged rates of opioid-related overdose deaths were similar in the intervention group and the control group (47.2 deaths per 100,000 population vs. 51.7 per 100,000 population), for an adjusted rate ratio of 0.91 (95% confidence interval, 0.76 to 1.09; P=0.30). The effect of the intervention on the rate of opioid-related overdose deaths did not differ appreciably according to state, urban or rural category, age, sex, or race or ethnic group. Intervention communities implemented 615 evidence-based practice strategies from the 806 strategies selected by communities (254 involving overdose education and naloxone distribution, 256 involving the use of medications for opioid use disorder, and 105 involving prescription opioid safety). Of these evidence-based practice strategies, only 235 (38%) had been initiated by the start of the comparison year. CONCLUSIONS In this 12-month multimodal intervention trial involving community coalitions in the deployment of evidence-based practices to reduce opioid overdose deaths, death rates were similar in the intervention group and the control group in the context of the Covid-19 pandemic and the fentanyl-related overdose epidemic.

Background Limited information exists about testing for human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) among Medicaid enrollees after starting medication for opioid use disorder (MOUD), despite guidelines recommending such testing. Our objectives were to estimate testing prevalence and trends for HIV, HBV, and HCV among Medicaid enrollees initiating MOUD and examine enrollee characteristics associated with testing. Methods We conducted a serial cross-sectional study of 505 440 initiations of MOUD from 2016 to 2019 among 361 537 Medicaid enrollees in 11 states. Measures of MOUD initiation; HIV, HBV, and HCV testing; comorbidities; and demographics were based on enrollment and claims data. Each state used Poisson regression to estimate associations between enrollee characteristics and testing prevalence within 90 days of MOUD initiation. We pooled state-level estimates to generate global estimates using random effects meta-analyses. Results From 2016 to 2019, testing increased from 20% to 25% for HIV, from 22% to 25% for HBV, from 24% to 27% for HCV, and from 15% to 19% for all 3 conditions. Adjusted rates of testing for all 3 conditions were lower among enrollees who were male (vs nonpregnant females), living in a rural area (vs urban area), and initiating methadone or naltrexone (vs buprenorphine). Associations between enrollee characteristics and testing varied across states. Conclusions Among Medicaid enrollees in 11 US states who initiated medications for opioid use disorder, testing for human immunodeficiency virus, hepatitis B virus, hepatitis C virus, and all 3 conditions increased between 2016 and 2019 but the majority were not tested.

The purpose of this study was to use qualitative interviews to ascertain the perspective of pediatric primary care providers on the implementation of Integrated Behavioral Health (IBH) as provided by psychologists within an expanded HealthySteps™ model, and with a particular focus on prevention of behavioral health symptoms in the first five years. A semi-structured interview guide was used to assess medical providers' perceptions of behavioral health integration into their primary care clinics. A conventional qualitative content analysis approach was utilized to identify patterns of meaning across qualitative interviews. Four themes were identified: (1) practice prior to IBH and initial concerns about integration, (2) psychologist's role and perceived added value, (3) what integration looks like in practice, and (4) perceived families' response to and experiences with IBH. Despite initial concerns about potential disruptions to clinic flow, providers indicated that adoption of IBH was seamless. The distinct roles of the psychologist were clear, and both treatment and prevention services provided by IBH were valued. Multidisciplinary collaboration and real-time response to family needs was seen as especially important and primary care providers reported that families were accepting of and highly valued IBH.

Importance: Early COVID-19 mitigation strategies placed an additional burden on individuals seeking care for opioid use disorder (OUD). Telemedicine provided a way to initiate and maintain transmucosal buprenorphine treatment of OUD.Objective: To examine associations between transmucosal buprenorphine OUD treatment modality (telemedicine vs traditional) during the COVID-19 public health emergency and the health outcomes of treatment retention and opioid-related nonfatal overdose.Design, Setting, and Participants: This retrospective cohort study was conducted using Medicaid claims and enrollment data from November 1, 2019, to December 31, 2020, for individuals aged 18 to 64 years from Kentucky and Ohio. Data were collected and analyzed in June 2022, with data updated during revision in August 2023.ExposuresThe primary exposure of interest was the modality of the transmucosal buprenorphine OUD treatment initiation. Relevant patient demographic and comorbidity characteristics were included in regression models.Main Outcomes and Measures: There were 2 main outcomes of interest: retention in treatment after initiation and opioid-related nonfatal overdose after initiation. For outcomes measured after initiation, a 90-day follow-up period was used. The main analysis used a new-user study design; transmucosal buprenorphine OUD treatment initiation was defined as initiation after more than a 60-day gap in buprenorphine treatment. In addition, uptake of telemedicine for buprenorphine was examined, overall and within patients initiating treatment, across quarters in 2020.Results: This study included 41 266 individuals in Kentucky (21 269 women [51.5%]; mean [SD] age, 37.9 [9.0] years) and 50 648 individuals in Ohio (26 425 women [52.2%]; mean [SD] age, 37.1 [9.3] years) who received buprenorphine in 2020, with 18 250 and 24 741 people initiating buprenorphine in Kentucky and Ohio, respectively. Telemedicine buprenorphine initiations increased sharply at the beginning of 2020. Compared with nontelemedicine initiation, telemedicine initiation was associated with better odds of 90-day retention with buprenorphine in both states (Kentucky: adjusted odds ratio, 1.13 [95% CI, 1.01-1.27]; Ohio: adjusted odds ratio, 1.19 [95% CI, 1.06-1.32]) in a regression analysis adjusting for patient demographic and comorbidity characteristics. Telemedicine initiation was not associated with opioid-related nonfatal overdose (Kentucky: adjusted odds ratio, 0.89 [95% CI, 0.56-1.40]; Ohio: adjusted odds ratio, 1.08 [95% CI, 0.83-1.41]).Conclusions and Relevance: In this cohort study of Medicaid enrollees receiving buprenorphine for OUD, telemedicine buprenorphine initiation was associated with retention in treatment early during the COVID-19 pandemic. These findings add to the literature demonstrating positive outcomes associated with the use of telemedicine for treatment of OUD.

BACKGROUNDLimited information exists about testing for HIV, HBV, and HCV among Medicaid enrollees after initiating an episode of medication treatment for opioid use disorder (MOUD), despite guidelines recommending such testing. Our objectives were to estimate testing prevalence and trends for HIV, HBV, and HCV among Medicaid enrollees initiating MOUD and examine enrollee characteristics associated with testing.METHODSWe conducted a serial cross-sectional study of 505,440 initiations of MOUD from 2016 to 2019 among 361,537 Medicaid enrollees aged 12-64 years in 11 states. Measures of MOUD initiation; HIV, HBV, and HCV testing; comorbidities; and demographics were based on enrollment and claims data. Each state used Poisson regression to estimate associations between enrollee characteristics and testing prevalence within 90 days of MOUD initiation. We pooled state-level estimates to generate global estimates using random effects meta-analyses.RESULTSFrom 2016 to 2019, testing for HIV increased from 20% to 25%, HBV from 22% to 25%, HCV from 24% to 27%, and for all three conditions from 15% to 19%. Adjusted rates of testing for all three conditions were lower among enrollees who were male (vs. non-pregnant females), living in a rural area (vs. urban area), and initiating methadone or naltrexone (vs. buprenorphine). Associations between enrollee characteristics and testing were heterogeneous across states.CONCLUSIONSAmong Medicaid enrollees in 11 states, testing for HIV, HBV, and HCV increased among enrollees initiating MOUD; however, approximately three-quarters of enrollees were not tested for each condition, and testing rates differed by enrollee characteristics.

The decades-long overdose epidemic in the United States is driven by opioid misuse. Overdoses commonly, although not exclusively, occur in individuals with opioid use disorder (OUD). To allocate adequate resources and develop appropriately scaled public health responses, accurate estimation of the prevalence of OUD is needed. Indirect methods (e.g., a multiplier method) of estimating prevalence of problematic substance-use behavior circumvent some limitations of household surveys and use of administrative data. We used a multiplier method to estimate OUD prevalence among the adult Medicaid population (ages 18-64 years) in 19 Ohio counties that are highly affected by overdose. We used Medicaid claims data and the US National Vital Statistics System overdose death data, which were linked at the person level. A statistical model leveraged opioid-related death rate information from a group with known OUD to estimate prevalence among a group with unknown OUD status given recorded opioid-related deaths in that group. We estimated that 13.6% of the total study population had OUD in 2019. Men (16.7%) had a higher prevalence of OUD than women (11.4%), and persons aged 35-54 had the highest prevalence (16.7%). Our approach to prevalence estimation has important implications for OUD surveillance and treatment in the United States.

INTRODUCTION:The opioid crisis is transitioning to a polydrug crisis, and individuals with co-occurring substance use disorder (SUDs) often have unique clinical characteristics and contextual barriers that influence treatment needs, engagement in treatment, complexity of treatment planning, and treatment retention. METHODS:Using Medicaid data for 2017-2018 from four states participating in a distributed research network, this retrospective cohort study documents the prevalence of specific types of co-occurring SUD among Medicaid enrollees with an opioid use disorder (OUD) diagnosis, and assesses the extent to which different SUD presentations are associated with differential patterns of MOUD and psychosocial treatments. RESULTS:We find that more than half of enrollees with OUD had a co-occurring SUD, and the most prevalent co-occurring SUD was for "other psychoactive substances", indicated among about one-quarter of enrollees with OUD in each state. We also find some substantial gaps in MOUD treatment receipt and engagement for individuals with OUD and a co-occurring SUD, a group representing more than half of individuals with OUD. In most states, enrollees with OUD and alcohol, cannabis, or amphetamine use disorder are significantly less likely to receive MOUD compared to enrollees with OUD only. In contrast, enrollees with OUD and other psychoactive SUD were significantly more likely to receive MOUD treatment. Conditional on MOUD receipt, enrollees with co-occurring SUDs had 10 % to 50 % lower odds of having a 180-day period of continuous MOUD treatment, an important predictor of better patient outcomes. Associations with concurrent receipt of MOUD and behavioral counseling were mixed across states and varied depending on co-occurring SUD type. CONCLUSIONS:Overall, ongoing progress toward increasing access to and quality of evidence-based treatment for OUD requires further efforts to ensure that individuals with co-occurring SUDs are engaged and retained in effective treatment. As the opioid crisis evolves, continued changes in drug use patterns and populations experiencing harms may necessitate new policy approaches that more fully address the complex needs of a growing population of individuals with OUD and other types of SUD.

BACKGROUND:Medications for opioid use disorder (MOUDs), including methadone, buprenorphine and naltrexone, are associated with lower death rates and improved quality of life for people in recovery from opioid use disorder (OUD). Less is known about each MOUD modality's association with treatment retention and the contribution of behavioral health therapy (BHT). The objectives of the current study were to estimate the association between MOUD type and treatment retention and determine whether BHT was associated with length of time retained. METHODS:We investigated the time from initiation to discontinuation from MOUD by medication type and exposure to BHT using statewide Medicaid Claims data (N = 81,752). We estimated covariate adjusted hazard ratios (AHR) using a Cox proportional hazards model. RESULTS:Compared to methadone, buprenorphine was associated with a higher risk of discontinuation at the time of initiation (AHR = 2.41, 95% CI = 2.28-2.55), however that difference decreased over one year of maintained retention (AHR = 1.44, 95% CI = 1.37-1.50). Compared to methadone and buprenorphine, naltrexone was associated with a higher risk of discontinuation at the time of initiation (naltrexone vs. methadone AHR = 2.49, 95% CI = 2.30-2.65; naltrexone vs. buprenorphine AHR 1.03, 95% CI = 1.00-1.07), and that relative risk increased over the course of one year of retention (naltrexone vs. methadone AHR = 3.85, 95% CI = 3.63-4.09; naltrexone vs. buprenorphine AHR = 2.67, 95% CI = 2.54-2.81). In general, independent of MOUD type, exposure to BHT during MOUD treatment was associated with a lower risk of discontinuation (AHR = 0.94, 95% CI = 0.92-0.96). However, BHT during the treatment episode was not associated with retention in the adolescent/young adult and pregnant women subpopulations. DISCUSSION:From the standpoint of early success, methadone was associated with the lowest risk of treatment discontinuation. While buprenorphine and naltrexone were associated with similar risks at the beginning of treatment, the relative discontinuation risk for buprenorphine was less than half that of naltrexone at one year of retention. In general, BHT with MOUD was associated with a lower risk of treatment discontinuation.

BACKGROUND:The Helping to End Addiction Long-termSM (HEALing) Communities Study (HCS) is a multisite, parallel-group, cluster randomized wait-list controlled trial evaluating the impact of the Communities That HEAL intervention to reduce opioid overdose deaths and associated adverse outcomes. This paper presents the approach used to define and align administrative data across the four research sites to measure key study outcomes. METHODS:Priority was given to using administrative data and established data collection infrastructure to ensure reliable, timely, and sustainable measures and to harmonize study outcomes across the HCS sites. RESULTS:The research teams established multiple data use agreements and developed technical specifications for more than 80 study measures. The primary outcome, number of opioid overdose deaths, will be measured from death certificate data. Three secondary outcome measures will support hypothesis testing for specific evidence-based practices known to decrease opioid overdose deaths: (1) number of naloxone units distributed in HCS communities; (2) number of unique HCS residents receiving Food and Drug Administration-approved buprenorphine products for treatment of opioid use disorder; and (3) number of HCS residents with new incidents of high-risk opioid prescribing. CONCLUSIONS:The HCS has already made an impact on existing data capacity in the four states. In addition to providing data needed to measure study outcomes, the HCS will provide methodology and tools to facilitate data-driven responses to the opioid epidemic, and establish a central repository for community-level longitudinal data to help researchers and public health practitioners study and understand different aspects of the Communities That HEAL framework.