Disparities Between US Opioid Overdose Deaths and Treatment Capacity: A Geospatial and Descriptive Analysis

County-level factors associated with a mismatch between opioid overdose mortality and availability of opioid treatment facilities

BACKGROUND

Opioid overdose deaths in the United States remain a major public health crisis. Little is known about counties with high rates of opioid overdose mortality but low availability of opioid use disorder (OUD) treatment facilities. We sought to identify characteristics of United States (US) counties with high rates of opioid overdose mortality and low rates of opioid treatment facilities.

METHODS

Rates of overdose mortality from 3,130 US counties were compared with availability of opioid treatment facilities that prescribed or allowed medications for OUD (MOUD), from 2018-2019. The outcome variable, "risk-availability mismatch" county, was a binary indicator of a high rate (above national average) of opioid overdose mortality with a low (below national average) rate of opioid treatment facilities. Covariates of interest included county-level sociodemographics and rates of insurance, unemployment, educational attainment, poverty, urbanicity, opioid prescribing, depression, heart disease, Gini index, and Theil index. Multilevel logistic regression, accounting for the clustering of counties within states, was used to determine associations with being a "risk-availability mismatch" county.

RESULTS

Of 3,130 counties, 1,203 (38.4%) had high rates of opioid overdose mortality. A total of 1,098 counties (35.1%) lacked a publicly-available opioid treatment facility in 2019. In the adjusted model, counties with an additional 1% of: white residents (odds ratio, OR, 1.02; 95% CI, 1.01-1.03), unemployment (OR, 1.11; 95% CI, 1.05-1.19), and residents without insurance (OR, 1.04; 95% CI, 1.01-1.08) had increased odds of being a mismatch county. Counties that were metropolitan (versus non-metropolitan) had an increased odds of being a mismatch county (OR, 1.85; 95% CI, 1.45-2.38).

CONCLUSION

Assessing mismatch between treatment availability and need provides useful information to characterize counties that require greater public health investment. Interventions to reduce overdose mortality are unlikely to be effective if they do not take into account diverse upstream factors, including sociodemographics, disease burden, and geographic context of communities.

Availability of Medication for Opioid Use Disorder Among Accountable Care Organizations: Evidence From a National Survey

OBJECTIVE

This report aimed to assess how accountable care organizations (ACOs) addressed ongoing opioid use disorder treatment needs over time.

METHODS

Responses from the 2018 (N=308 organizations) and 2022 (N=276) National Survey of Accountable Care Organizations (response rate=55% in both years) were used to examine changes in availability of medication for opioid use disorder (MOUD) among ACOs with Medicare and Medicaid contracts.

RESULTS

The percentage of respondents offering at least one MOUD grew from 39% in 2018 to 52% in 2022 (p<0.01). MOUDs were more likely to be available in 2022 among ACOs with (vs. without) in-network substance use treatment facilities (80% vs. 33%, p<0.001). The percentage of 2022 respondents who reported offering MOUD was similar in states with high versus low opioid overdose mortality rates.

CONCLUSIONS

Despite growing availability of MOUD among ACOs, nearly half reported not offering any MOUD in 2022, and the availability of MOUD did not increase with treatment need.

Social vulnerability predictors of drug poisoning mortality: A machine learning analysis in the United States

BACKGROUND AND OBJECTIVES

Drug poisoning is a leading cause of unintentional deaths in the United States. Despite the growing literature, there are a few recent analyses of a wide range of community-level social vulnerability features contributing to drug poisoning mortality. Current studies on this topic face three limitations: often studying a limited subset of vulnerability features, focusing on small sample sizes, or solely including local data. To address this gap, we conducted a national-level analysis to study the impacts of several social vulnerability features in predicting drug mortality rates in the United States.

METHODS

We used machine learning to investigate the role of 16 social vulnerability features in predicting drug mortality rates for US counties in 2014, 2016, and 2018-the most recent available data. We estimated each vulnerability feature's gain relative contribution in predicting drug poisoning mortality.

RESULTS

Among all social vulnerability features, the percentage of noninstitutionalized persons with a disability is the most influential predictor, with a gain relative contribution of 18.6%, followed by population density and the percentage of minority residents (13.3% and 13%, respectively). Percentages of households with no available vehicles, mobile homes, and persons without a high school diploma are the following features with gain relative contributions of 6.3%, 5.8%, and 5.1%, respectively.

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

We identified social vulnerability features that are most predictive of drug poisoning mortality. Public health interventions and policies targeting vulnerable communities may increase the resilience of these communities and mitigate the overdose death and drug misuse crisis.

Are DEA-waivered buprenorphine prescribers colocated with behavioral health clinicians?

BACKGROUND AND OBJECTIVES

Medication for opioid use disorder (MOUD) in primary care includes a combination of medication, behavioral therapy, and/or other psychosocial services. This study assessed rates of colocation between waivered prescribers and behavioral health clinicians across the United States to understand if rates varied by provider type and geographic indicators.

METHODS

Data from the DEA-Drug Addiction Treatment Act of 2000 provider list as of March 2022 and the National Plan and Provider Enumeration System's National Provider Identifier database were gathered, cleaned, and formatted in Stata. Data were geocoded with ESRI StreetMap® database and ArcGIS software. Covariates at individual, county, and state levels were examined and compared. Chi-square statistics and a mixed-effects logistic regression were analyzed.

RESULTS

The sample (N = 71, 292 prescribers) included physicians (64%), nurse practitioners (29%), and physician assistants (7%). About 48% of prescribers were colocated with a behavioral health clinician. Physicians were the least likely to be colocated (47%), but differences between provider types were modest. We observed significant geographic differences in provider colocation by provider type. Mixed effects logistic regression identified significant predictors of colocation at individual, county, and state levels.

DISCUSSION AND CONCLUSIONS

Optimally distributing the workforce providing MOUD is necessary to broadly ensure the provision of comprehensive MOUD care based on practice guidelines.

SCIENTIFIC SIGNIFICANCE

Less than half of all waivered prescribers, outside of hospitals, are colocated with behavioral health clinicians. Findings offer greater clarity on where integrated MOUD is occurring, among which types of providers, and where it needs to be expanded to increase MOUD uptake.

Methadone Treatment Gap in Tennessee and How Medication Units Could Bridge the Gap: A Review

The opioid epidemic has been an ongoing public health concern in the United States (US) for the last few decades. The number of overdose deaths involving opioids, hereafter referred to as overdose deaths, has increased yearly since the mid-1990s. One treatment modality for opioid use disorder (OUD) is medication-assisted treatment (MAT). As of 2022, only three pharmacotherapy options have been approved by the Food and Drug Administration (FDA) for treating OUD: buprenorphine, methadone, and naltrexone. Unlike buprenorphine and naltrexone, methadone dispensing and administrating are restricted to opioid treatment programs (OTPs). To date, Tennessee has no medication units, and administration and dispensing of methadone is limited to licensed OTPs. This review details the research process used to develop a policy draft for medication units in Tennessee. This review is comprised of three parts: (1) a rapid review aimed at identifying obstacles and facilitators to OTP access in the US, (2) a descriptive analysis of Tennessee's geographic availability of OTPs, pharmacies, and federally qualified health centers (FQHCs), and (3) policy mapping of 21 US states' OTP regulations. In the rapid review, a total of 486 articles were imported into EndNote from PubMed and Embase. After removing 152 duplicates, 357 articles were screened based on their title and abstract. Thus, 34 articles underwent a full-text review to identify articles that addressed the accessibility of methadone treatment for OUD. A total of 18 articles were identified and analyzed. A descriptive analysis of Tennessee's availability of OTP showed that the state has 22 OTPs. All 22 OTPs were matched to a county and a region based on their address resulting in 15 counties (16%) and all three regions having at least one OTP. A total of 260 FQHCs and 2294 pharmacies are in Tennessee. Each facility was matched to a county based on its address resulting in 70 counties (74%) having at least one FQHC and 94 counties (99%) having at least one pharmacy. As of 31 December 2022, 17 states mentioned medication units in their state-level OTP regulations. Utilizing the regulations for the eleven states with medication units and federal guidelines, a policy draft was created for Tennessee's medication units.

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.

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.

A qualitative exploration of barriers and facilitators to drug treatment services among people who inject drugs in west Virginia

BACKGROUND

The opioid overdose crisis in the USA has called for expanding access to evidence-based substance use treatment programs, yet many barriers limit the ability of people who inject drugs (PWID) to engage in these programs. Predominantly rural states have been disproportionately affected by the opioid overdose crisis while simultaneously facing diminished access to drug treatment services. The purpose of this study is to explore barriers and facilitators to engagement in drug treatment among PWID residing in a rural county in West Virginia.

METHODS

From June to July 2018, in-depth interviews (n = 21) that explored drug treatment experiences among PWID were conducted in Cabell County, West Virginia. Participants were recruited from locations frequented by PWID such as local service providers and public parks. An iterative, modified constant comparison approach was used to code and synthesize interview data.

RESULTS

Participants reported experiencing a variety of barriers to engaging in drug treatment, including low thresholds for dismissal, a lack of comprehensive support services, financial barriers, and inadequate management of withdrawal symptoms. However, participants also described several facilitators of treatment engagement and sustained recovery. These included the use of medications for opioid use disorder and supportive health care workers/program staff.

CONCLUSIONS

Our findings suggest that a range of barriers exist that may limit the abilities of rural PWID to successfully access and remain engaged in drug treatment in West Virginia. Improving the public health of rural PWID populations will require expanding access to evidence-based drug treatment programs that are tailored to participants' individual needs.

The Future of the United States Overdose Crisis: Challenges and Opportunities

Policy Points People are dying at record numbers from overdose in the United States. Concerted action has led to a number of successes, including reduced inappropriate opioid prescribing and increased availability of opioid use disorder treatment and harm-reduction efforts, yet ongoing challenges include criminalization of drug use and regulatory and stigma barriers to expansion of treatment and harm-reduction services. Priorities for action include investing in evidence-based and compassionate policies and programs that address sources of opioid demand, decriminalizing drug use and drug paraphernalia, enacting policies to make medication for opioid use disorder more accessible, and promoting drug checking and safe drug supply.

Identifying drivers of increasing opioid overdose deaths among black individuals: a qualitative model drawing on experience of peers and community health workers

BACKGROUND

Black individuals in the USA face disproportionate increases in rates of fatal opioid overdose despite federal efforts to mitigate the opioid crisis. The aim of this study was to examine what drives increases in opioid overdose death among Black Americans based on the experience of key stakeholders.

METHODS

Focus groups were conducted with stakeholders providing substance use prevention services in Black communities in St. Louis, MO (n = 14). One focus group included peer advocates and volunteers conducting outreach-based services and one included active community health workers. Focus groups were held at community partner organizations familiar to participants. Data collection was facilitated by an interview guide with open-ended prompts. Focus groups were audio recorded and professionally transcribed. Transcripts were analyzed using grounded theory to abstract line-by-line codes into higher order themes and interpret their associations.

RESULTS

A core theme was identified from participants' narratives suggesting that opioid overdose death among Black individuals is driven by unmet needs for safety, security, stability, and survival (The 4Ss). A lack of The 4Ss was reflective of structural disinvestment and healthcare and social service barriers perpetuated by systemic racism. Participants unmet 4S needs are associated with health and social consequences that perpetuate overdose and detrimentally impact recovery efforts. Participants identified cultural and relationship-based strategies that may address The 4Ss and mitigate overdose in Black communities.

CONCLUSIONS

Key stakeholders working in local communities to address racial inequities in opioid overdose highlighted the importance of upstream interventions that promote basic socioeconomic needs. Local outreach efforts utilizing peer services can provide culturally congruent interventions and promote harm reduction in Black communities traditionally underserved by US health and social systems.

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.

Has the treatment gap for opioid use disorder narrowed in the U.S.?: A yearly assessment from 2010 to 2019"

BACKGROUND

The United States overdose crisis continues unabated. Despite efforts to increase capacity for treating opioid use disorder (OUD) in the U.S., how actual treatment receipt compares to need remains unclear. In this cross-sectional study, we estimate progress in addressing the gap between OUD prevalence and OUD treatment receipt at the national and state levels from 2010 to 2019.

METHODS

We estimated past-year OUD prevalence rates based on the U.S. National Survey on Drug Use and Health (NSDUH), using adjustment methods that attempt to account for OUD underestimation in national household surveys. We used data from specialty substance use treatment records and outpatient pharmacy claims to estimate the gap between OUD prevalence and number of persons receiving medications for opioid use disorder (MOUD) during the past decade.

RESULTS

Adjusted estimates suggest past-year OUD affected 7,631,804 individuals in the U.S. in (2,773 per 100,000 adults 12+), relative to only 1,023,959 individuals who received MOUD (365 per 100,000 adults 12+). This implies approximately 86.6% of individuals with OUD nationwide who may benefit from MOUD treatment do not receive it. MOUD receipt increased across states over the past decade, but most regions still experience wide gaps between OUD prevalence and MOUD receipt.

CONCLUSIONS

Despite some progress in expanding access to MOUD, a substantial gap between OUD prevalence and treatment receipt highlights the critical need to increase access to evidence-based services.

Contact based intervention reduces stigma among pharmacy students

INTRODUCTION

Interventions to reduce the stigma of substance use disorders by health professionals often include didactic instruction combined with an interactive component that includes a guest speaker in recovery. Few interactive studies have focused on pharmacy students. Community pharmacists are moving to the front lines to battle the opioid epidemic; therefore, pharmacy students should be included in interventions aimed at reducing stigma by health professionals.

METHODS

This study examined the effects of a contact-based interactive intervention delivered by a peer recovery support specialist on perceived stigma of opioid use disorder among third-year pharmacy students (N = 115) enrolled in an integrative psychiatry course. Stigma was measured using the Brief Opioid Stigma Scale.

RESULTS

Our study found significant differences in students' perceived stigma, both with their personal beliefs and their beliefs regarding the public, supporting the use of interactive presentations by peer recovery support specialists to decrease perceived stigma of opioid use disorder by health professionals.

CONCLUSIONS

This type of intervention for pharmacy students shows promise in reducing substance use disorder stigma and should be further explored.

State level variation in substance use treatment admissions among criminal legal-referred individuals

BACKGROUND

Individuals involved in the criminal legal system face unique challenges to accessing substance use disorder (SUD) treatment, yet state-level variation in referrals for treatment remains largely unknown. To address disparities in the overdose crisis among individuals with criminal legal involvement, it is important to understand variation in SUD treatment across states.

METHODS

We conducted a retrospective comparison of substance use treatment referrals from the criminal legal system and other sources across participating states. Using data from the 2018-2019 Treatment Episode Dataset-Admissions, we characterized treatment referral rates from the criminal legal system, the substances most commonly leading to treatment, and rates of treatment with medication for opioid use disorder (MOUD) across states.

RESULTS

Across all states, criminal legal referral rates were higher than non-criminal legal rates. Criminal-legal referral rates, adjusted for state overdose deaths, were highest in the Northeast and Midwest. Methamphetamine use was the most common substance leading to treatment referral from the criminal legal system in 24 states while opioid use was the most common reason for non-criminal legal referrals in 34 states. In over half the states analyzed, fewer than 10% of opioid treatment referrals from the criminal legal system received MOUD. In almost all states, MOUD was more common in treatment referred from non-criminal legal settings.

CONCLUSION

State-specific policies and practices shape drug policy and the SUD treatment landscape for people with criminal legal involvement. Standards and ongoing monitoring for substance use treatment referrals from the criminal-legal system should be considered by federal agencies charged with addressing the ongoing overdose crisis.

The Impact of COVID-19 on Opioid-Related Overdose Deaths in Texas

Prior to the COVID-19 pandemic, the United States was facing an epidemic of opioid overdose deaths, clouding accurate inferences about the impact of the pandemic at the population level. We sought to determine the existence of increases in the trends of opioid-related overdose (ORO) deaths in the Greater Houston metropolitan area from January 2015 through December 2021, and to describe the social vulnerability present in the geographic location of these deaths. We merged records from the county medical examiner's office with social vulnerability indexes (SVIs) for the region and present geospatial locations of the aggregated ORO deaths. Time series analyses were conducted to determine trends in the deaths, with a specific focus on the years 2019 to 2021. A total of 2660 deaths were included in the study and the mean (standard deviation, SD) age at death was 41.04 (13.60) years. Heroin and fentanyl were the most frequent opioids detected, present in 1153 (43.35%) and 1023 (38.46%) ORO deaths. We found that ORO deaths increased during the years 2019 to 2021 (p-value ≤ 0.001) when compared with 2015. Compared to the year 2019, ORO deaths increased for the years 2020 and 2021 (p-value ≤ 0.001). The geographic locations of ORO deaths were not associated with differences in the SVI. The COVID-19 pandemic had an impact on increasing ORO deaths in the metropolitan Houston area; however, identifying the determinants to guide targeted interventions in the areas of greatest need may require other factors, in addition to community-level social vulnerability parameters.

Identifying key risk factors for premature discontinuation of opioid use disorder treatment in the United States: A predictive modeling study

BACKGROUND

Treatment for opioid use disorder (OUD), particularly medication for OUD, is highly effective; however, retention in OUD treatment is a significant challenge. We aimed to identify key risk factors for premature exit from OUD treatment.

METHODS

We analyzed 2,381,902 cross-sectional treatment episodes for individuals in the U.S., discharged between Jan/1/2015 and Dec/31/2019. We developed classification models (Random Forest, Classification and Regression Trees (CART), Bagged CART, and Boosted CART), and analyzed 31 potential risk factors for premature treatment exit, including treatment characteristics, substance use history, socioeconomic status, and demographic characteristics. We stratified our analysis based on length of stay in treatment and service setting. Models were compared using cross-validation and the receiver operating characteristic area under the curve (ROC-AUC).

RESULTS

Random Forest outperformed other methods (ROC-AUC: 74%). The most influential risk factors included characteristics of service setting, geographic region, primary source of payment, and referral source. Race, ethnicity, and sex had far weaker predictive impacts. When stratified by treatment setting and length of stay, employment status and delay (days waited) to enter treatment were among the most influential factors. Their importance increased as treatment duration decreased. Notably, importance of referral source increased as the treatment duration increased. Finally, age and age of first use were important factors for lengths of stay of 2-7 days and in detox treatment settings.

CONCLUSIONS

The key factors of OUD treatment attrition identified in this analysis should be more closely explored (e.g., in causal studies) to inform targeted policies and interventions to improve models of care.

Management of opioid withdrawal and initiation of medications for opioid use disorder in the hospital setting

Opioid use disorder (OUD) has become increasingly prevalent among hospitalized patients in the United States and globally. As its prevalence increases, this provides a valuable opportunity for clinicians in the hospital setting to engage and initiate management and treatment of OUD. This article aims to provide hospitalists and other clinicians working in the hospital with a narrative review of the management of opioid withdrawal and the initiation of medications for opioid use disorder (MOUD) in the hospital and provide an update on a novel low dose approach to buprenorphine induction (also commonly referred to as the "microinduction" method). Management can initially include treating withdrawal symptoms with opioids as well as with a combination of non-opioid medications such as alpha 2 agonists, benzodiazepines, and/or antiemetics as needed. Besides simply managing withdrawal symptoms, clinicians can further improve the care of patients with OUD through initiating maintenance treatment with MOUD, ideally with opioids used in the initial management of withdrawal. Opioid detoxification is an inferior method of primary treatment and is associated with relapse and poor outcomes. In contrast, treatment with MOUD using methadone or buprenorphine is associated with superior treatment outcomes and reduced relapse compared to detoxification alone. Treatment with MOUD using methadone or buprenorphine can be successfully used in the hospital setting. A novel low dose approach to buprenorphine induction may be useful in minimizing precipitated withdrawals in patients who have recently used or received opioids, which makes this an attractive option in the hospital where patients are frequently on opioids for acutely painful conditions. The hospital setting also provides a valuable opportunity for clinicians to address harm reduction in patients with OUD. Finally, clinicians can improve the long-term outcomes of patients with OUD by ensuring a smooth discharge with adequate and timely follow-up.

Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis

Opioid overdose deaths remain a major public health crisis. We used a system dynamics simulation model of the U.S. opioid-using population age 12 and older to explore the impacts of 11 strategies on the prevalence of opioid use disorder (OUD) and fatal opioid overdoses from 2022 to 2032. These strategies spanned opioid misuse and OUD prevention, buprenorphine capacity, recovery support, and overdose harm reduction. By 2032, three strategies saved the most lives: (i) reducing the risk of opioid overdose involving fentanyl use, which may be achieved through fentanyl-focused harm reduction services; (ii) increasing naloxone distribution to people who use opioids; and (iii) recovery support for people in remission, which reduced deaths by reducing OUD. Increasing buprenorphine providers' capacity to treat more people decreased fatal overdose, but only in the short term. Our analysis provides insight into the kinds of multifaceted approaches needed to save lives.

Simulating the experience of searching for LGBTQ-specific opioid use disorder treatment in the United States

INTRODUCTION

Lesbian, gay, bisexual, transgender, and queer (LGBTQ) populations experience opioid-related disparities compared to heterosexual and cisgender populations. LGBTQ-specific services are needed within opioid use disorder (OUD) treatment settings to minimize treatment barriers; research on the availability and accessibility of such services is limited. The purpose of the current study was to mimic the experience of an LGBTQ-identified individual searching for LGBTQ-specific OUD treatment services, using the SAMHSA National Directory of Drug and Alcohol Abuse Treatment Facilities - 2018 (Treatment Directory).

METHODS

We contacted treatment facilities listed in the Treatment Directory as providing both medications for OUD (MOUD) and "special programs/groups" for LGBTQ clients within states with the top 20 highest national opioid overdose rates. We used descriptive statistics to characterize the outcome of calls; and the overall number of facilities offering LGBTQ-specific services, MOUD, and both LGBTQ-specific services and MOUD in each state by 100,000 state population and in relation to opioid overdose mortality rates (programs-per-death rate).

RESULTS

Of the N = 570 treatment facilities contacted, n = 446 (78.25 %) were reached and answered our questions. Of n = 446 reached (all of which advertised both MOUD and LGBTQ-specific services), n = 366 (82.06 %) reported offering MOUD, n = 125 (28.03 %) reported offering special programs or groups for LGBTQ clients, and n = 107 (23.99 %) reported offering both MOUD and LGBTQ-specific services. Apart from Washington, DC, New Mexico, South Carolina, and West Virginia, which did not have any facilities that reported offering both MOUD and LGBTQ-specific services, Illinois had the lowest, and Michigan had the highest programs-per-death rate. Most of the northeastern states on our list (all but New Hampshire) clustered in the top two quarters of programs-per-death rates, while most of southeastern states (all but North Carolina) clustered in the bottom two quarters of programs-per-death rates.

CONCLUSIONS

The lack of LGBTQ-specific OUD treatment services may lead to missed opportunities for supporting LGBTQ people most in need of treatment; such treatment is especially crucial to prevent overdose mortality and improve the health of LGBTQ populations across the United States, particularly in the southeast.

Disparities in years of potential life lost to Drug-involved overdose deaths in South Carolina

INTRODUCTION

South Carolina has experienced a surge in fatal overdoses, primarily fueled by opioid-involved overdose deaths. This work aims to quantify the burden of premature mortality due to fatal opioid-involved overdoses in South Carolina while documenting the contribution of synthetic opioids to excess mortality, examining substance specific geographic and demographic patterns of mortality burden, and measuring the effect of fatal opioid and synthetic opioid-involved overdoses on average lifespan.

METHODS

We obtained death certificates for fatalities involving opioids, cocaine, benzodiazepines, and psychostimulants (N = 3,726) in South Carolina from 2014 to 2018. Years of Potential Life Lost (YPLL) was used to examine gender, racial, and geographic disparities in mortality burden. We assessed the contribution of synthetic opioid poisoning to the overall opioid mortality burden over time and calculated the effect of fatal opioid and synthetic opioid-involved overdoses on average lifespan.

RESULTS

From 2014 to 2018, opioid-involved overdose deaths resulted in 124,451 YPLL. The average age of fatal male and female opioid-involved overdoses decreased 2.8 and 3.9 years, respectively. Synthetic opioids increasingly contributed to opioid YPLL, accounting for 22% in 2014 to 64% in 2018. Mortality burden was not shared equally between races, sexes, or rural/urban counties. The largest change occurred in black male synthetic opioid-involved deaths (2234%). Rural counties comprised 44-48% of the population adjusted YPLL despite containing 34% of the population.

CONCLUSION

Opioid-involved overdoses account for a critical cause of mortality in South Carolina, demonstrate significant impact on YPLL and highlight mortality burden disparities in gender, race, and rural/urban settings.

Sociodemographic and Clinical Characteristics Associated with Improvements in Quality of Life for Participants with Opioid Use Disorder

Background: The Houston Emergency Opioid Engagement System was established to create an access pathway into long-term recovery for individuals with opioid use disorder. The program determines effectiveness across multiple dimensions, one of which is by measuring the participant’s reported quality of life (QoL) at the beginning of the program and at successive intervals. Methods: A visual analog scale was used to measure the change in QoL among participants after joining the program. We then identified sociodemographic and clinical characteristics associated with changes in QoL. Results: 71% of the participants (n = 494) experienced an increase in their QoL scores, with an average improvement of 15.8 ± 29 points out of a hundred. We identified 10 factors associated with a significant change in QoL. Participants who relapsed during treatment experienced minor increases in QoL, and participants who attended professional counseling experienced the largest increases in QoL compared with those who did not. Conclusions: Insight into significant factors associated with increases in QoL may inform programs on areas of focus. The inclusion of counseling and other services that address factors such as psychological distress were found to increase participants’ QoL and success in recovery.

Data needs and models for the opioid epidemic

The evolving nature of the opioid epidemic and continued increases in overdose deaths highlight a need for fundamental change in the collection and use of surveillance data to link them to implementation of effective service, treatment, and prevention approaches. Yet at present, the quality and timeliness of US surveillance data often limits data-driven approaches. We review current information needs, summarize limitations of existing data, propose complementary surveillance resources, and provide examples of promising approaches designed to meet the needs of data end-users. We conclude that there is a need for an approach that focuses on the needs of data end-users, such as public health systems leaders, policy makers, public, nonprofit and prepaid healthcare systems, and other systems, such as the justice system. Such an approach, which may require investments in new infrastructure, should prioritize improvements in data timeliness, sample representativeness, database linkage, and increased flexibility to adapt to shifts in the environment, while preserving the privacy of survey participants. Use of simulations, distributed research and data networks, alternative data sources, such as wastewater or digital data collection and use of blockchain technology, are some of promising avenues toward an improved and more user-centered surveillance system.

Utilization of Medications for Opioid Use Disorder Across US States: Relationship to Treatment Availability and Overdose Mortality

OBJECTIVE

Availability of medications for opioid use disorder (MOUD) remains sparse. To date, there has been no national, state-by-state comparison of patient MOUD utilization relative to treatment availability and burden of overdose deaths. We aimed to quantify, for each state, the number of MOUD patients relative to (1) office-based buprenorphine providers and opioid treatment programs (OTPs) and (2) overdose deaths.

METHODS

We conducted a spatial analysis of patients receiving MOUD from OTPs or buprenorphine providers in March 2017 across all 50 states and Washington, DC. For each state, we calculated the number of patients receiving MOUD from OTPs and buprenorphine prescriptions, relative to available OTPs and buprenorphine providers; as well as ratios of number of patients receiving MOUD relative to overdose deaths.

RESULTS

In March 2017, 942,368 patients attended an OTP (410,288) or received a buprenorphine prescription (486,318). Patient to OTP ratio was highest in West Virginia, Delaware, Washington, DC, New Jersey, New Hampshire, Connecticut and Ohio, ranging from 91 to 193 patients per OTP in the first quintile to 430 to 648 in the fifth. Patient to buprenorphine provider ratio was highest in Kentucky and West Virginia, ranging from 3 to 7 patients per provider in the first quintile to 19 to 28 in the fifth. Median MOUD patients per overdose death was 21 (IQR:14.9-28.2). Of high overdose states, Washington, DC, New Jersey, and Ohio had the smallest number of patients on MOUD relative to deaths.

CONCLUSIONS

High patient volume relative to treatment availability in overdose-burdened areas may indicate strain on MOUD providers and OTPs. Promoting greater utilization while expanding MOUD providers and programs is critical.

Identifying barriers to emergency department-initiated buprenorphine: A spatial analysis of treatment facility access in Michigan

STUDY OBJECTIVES

Emergency department (ED)-initiated buprenorphine/naloxone has been shown to improve treatment retention and reduce illicit opioid use; however, its potential may be limited by a lack of accessible community-based facilities. This study compared one state's geographic distribution of EDs to outpatient treatment facilities that provide buprenorphine treatment and identified ED and geographic factors associated with treatment access.

METHODS

Treatment facility data were obtained from the SAMHSA 2018 National Directory of Drug and Alcohol Abuse Treatment Facilities, and ED data were obtained from the Michigan College of Emergency Physician's 2018 ED directory. Geospatial analysis compared EDs to buprenorphine treatment facilities using 5-, 10-, and 20-mile network buffers.

RESULTS

Among 131 non-exclusively pediatric EDs in Michigan, 57 (43.5%) had a buprenorphine treatment facility within 5 miles, and 66 (50.4%) had a facility within 10 miles. EDs within 10 miles of a Medicaid-accepting, outpatient buprenorphine treatment facility had higher average numbers of beds (41 vs. 15; p < 0.0001) and annual patient volumes (58,616 vs. 17,484; p < 0.0001) compared to those without. Among Michigan counties with EDs, those with at least one buprenorphine facility had larger average populations (286,957 vs. 44,757; p = 0.005) and higher annual rates of opioid overdose deaths (mean 18.3 vs. 13.0 per 100,000; p = 0.02) but were similar in terms of opioid-related hospitalizations and socioeconomic distress.

CONCLUSION

Only half of Michigan EDs are within 10 miles of a buprenorphine treatment facility. Given these limitations, expanding access to ED-initiated buprenorphine in states similar to Michigan may require developing alternative models of care.

Fewer Opioids but More Benzodiazepines? Prescription Trends by Specialty in Response to the Implementation of Michigan's Opioid Laws

OBJECTIVES

To characterize the effects of Michigan's controlled substance legislation on acute care prescriber behavior by specialty, in a single hospital system.

DESIGN

A retrospective study of opioid and benzodiazepine prescription records from a hospital electronic medical record system between August 1, 2016 and March 31, 2019 in Detroit, MI.

SETTING

Discharges from inpatient and emergency department visits.

INTERVENTION

Evaluating the impact of implementation of state controlled substance legislation, comparing prescriptions by physicians before, upon, and after June 1, 2018 using regression discontinuity analysis.

METHODS

Total daily prescriptions of opioids and total daily prescriptions of benzodiazepine by physicians in the hospital system. Prescriptions were converted to morphine and lorazepam equivalents for comparability.

RESULTS

We find 38.5% (CI: 74.1% - 2.9%) decrease of prescription in milligrams of opioid equivalents attributable to implementation of legislation. The main catalyst of the decrease was emergency medicine which experienced 63.9% (CI: 109.7% - 18.0%) decrease in milligrams of opioid equivalent prescriptions, while surgery increased prescriptions. Though we do not find any statistically significant changes in prescriptions of milligram equivalent of benzodiazepines, we estimate 43.1% (CI: 82.6 - 3.7%) decrease in count of these prescriptions, implying a significant increase in average dosage of prescriptions.

CONCLUSIONS

The introduction of new regulatory requirements for the prescription of controlled substances led to a general decrease in morphine equivalent milligrams prescribed in most specialties, though it may have increased the dosage of benzodiazepine prescriptions. The change in prescription behavior could be motivated by regulatory hassle or by change in attitude towards opioid prescriptions and increased recognition of opioid use disorder.

Federally Qualified Health Centers Can Expand Rural Access to Buprenorphine for Opioid Use Disorder in Arizona

Medication for Opioid Use Disorder (MOUD) is recommended, but not always accessible to those who desire treatment. This study assessed the impact of expanding access to buprenorphine through federally qualified health centers (FQHCs) in Arizona. We calculated mean drive-times to Arizona opioid treatment (OTP) locations, office-based opioid treatment (OBOT) locations, and FQHCs clinics using January 2020 location data. FQHCs were designated as OBOT or non-OBOT clinics to explore opportunities to expand treatment access to non-OBOT clinics (potential OBOTs) to further reduce drive-times for rural and underserved populations. We found that OTPs had the largest mean drive times (16.4 minutes), followed by OBOTs (7.1 minutes) and potential OBOTs (6.1 minutes). Drive times were shortest in urban block groups for all treatment types and the largest differences existed between OTPs and OBOTs (50.6 minutes) in small rural and in isolated rural areas. OBOTs are essential points of care for opioid use disorder treatment. They reduce drive times by over 50% across all urban and rural areas. Expanding buprenorphine through rural potential OBOT sites may further reduce drive times to treatment and address a critical need among underserved populations.

Green Hope: Perspectives on Cannabis from People who Use Opioids

While states are implementing policies to legalize cannabis for medical or recreational purposes, it remains a Schedule 1 controlled substance with no medical uses according to US federal law. The perception of cannabis depends on social and cultural norms that impact political institutions involved in implementing policy. Because of negative social constructions, such as the "gateway hypothesis," legalization of cannabis has been slow and contentious. Recent studies suggest that cannabis can help combat the opioid epidemic. This paper fills a gap in our understanding of how cannabis is viewed by people who are actively misusing opioids and not in treatment. Using ethnographic methods to recruit participants living in a state that legalized cannabis and a state where cannabis was illegal, survey and interview data were analyzed informed by a social constructionist lens. Findings from their "insider perspective" suggest that for some people struggling with problematic opioid use, cannabis can be beneficial.

Feasibility and outcomes from an integrated bridge treatment program for opioid use disorder

OBJECTIVE

With a significant proportion of individuals with opioid use disorder not currently receiving treatment, it is critical to find novel ways to engage and retain patients in treatment. Our objective is to describe the feasibility and preliminary outcomes of a program that used emergency physicians to initiate a bridge treatment, followed by peer support services, behavioral counseling, and ongoing treatment and follow-up.

METHODS

We developed a program called the Houston Emergency Opioid Engagement System (HEROES) that provides rapid access to board-certified emergency physicians for initiation of buprenorphine, plus at least 1 behavioral counseling session and 4 weekly peer support sessions over the course of 30 days. Follow-ups were conducted by phone and in person to obtain patient-reported outcomes. Primary outcomes included percentage of patients who completed the 30-day program and the percentage for successful linkage to more permanent ongoing treatment after the initial program.

RESULTS

There were 324 participants who initiated treatment on buprenorphine from April 2018 to July 2019, with an average age of 36 (±9.6 years) and 52% of participants were males. At 30 days, 293/324 (90.43%) completed the program, and 203 of these (63%) were successfully connected to a subsequent community addiction medicine physician. There was a significant improvement (36%) in health-related quality of life.

CONCLUSION

Lack of insurance is a predictor for treatment failure. Implementation of a multipronged treatment program is feasible and was associated with positive patient-reported outcomes. This approach holds promise as a strategy for engaging and retaining patients in treatment.

Prevalence and charges of opioid-related visits to U.S. emergency departments

OBJECTIVE

An overwhelming responsibility for responding to the opioid epidemic falls on hospital emergency departments (ED). We sought to examine the overall prevalence rate and associated charges of opioid-related diagnoses and overdoses. Although charge data do not necessarily represent cost, they are proxy indicators of resource utilization and burden.

METHODS

We conducted a retrospective study of the National Emergency Department Sample (NEDS) dataset, the largest all-payer ED database in the United States. We queried using specific relevant ICD-10 codes to estimate the number of adult ED visits for both opioid poisonings and other opioid-related diagnoses during 2016 and 2017, which was the most recent publicly available data. Prevalence rates and financial charges were calculated by year and odds ratios were used to examine differences.

RESULTS

Of approximately 234 million adult visits to EDs across 2016 and 2017, 2.88 million (1.23%) were related to opioids, with overdoses comprising nearly 27.5% and visits for other opioid-related diagnoses totaling 72.5%. As the primary diagnosis, opioids were responsible for 37% of all ED visits across both years. Total opioid-related visits for the two years accounted for $9.57 billion in ED charges, or $4.78 billion annually, with Medicaid and Medicare responsible for 66% of all charges.

CONCLUSION AND RELEVANCE

Approximately one of every 80 visits to the ED were opioid-related, leading to financial charges approaching $5 billion per year. Since both prevalence and the economic burden of opioid-related visits are high, targeted interventions to address this epidemic's impact on healthcare systems should be a national priority.

Changing Outdated Methadone Regulations That Harm Pregnant Patients

Methadone regulations have changed minimally since 1974, despite advances in the understanding of the nature of opioid use disorder (OUD) and the role of medications in its treatment. At that time, most patients with OUD were considered to have anti-social personality disorders and the regulations aimed to exert maximal control over medication access. Six- or seven-day clinic attendance is required for months, regardless of distance, or childcare and other social responsibilities. Take home medications are not allowed unless rigid and formulaic conditions are met. Although addiction medicine has rejected the "criminal" paradigm in favor of OUD as a treatable medical disorder, methadone regulations have not kept pace with the science. Pregnancy is characterized by an ultra-rapid metabolic state, but regulations prevent the use of daily divided doses of methadone to maintain stability. This results in repeated episodes of maternal/fetal opioid withdrawal, as well as other fetal physiologic abnormalities. Interference with dose regimen adjustments prevents optimal outcomes. Further, methadone clinics are mostly urban, leaving patients in rural areas without access. This led to excessive morbidity and mortality when the opioid crisis hit. The response of merely expanding capacity in overcrowded urban clinics created a contagion menace when Covid-19 arrived. Pregnant women (and parents with children) were forced to negotiate dosing in dangerous conditions. A revised methadone system must provide treatment that is local, flexible, and limited in size to manage viral contagion risks. This regulatory change can most easily be started by changing regulations that adversely affect pregnant women.

Social vulnerability in persons with chronic hepatitis C virus infection is associated with a higher risk of prescription opioid use

Prescription opioid use (POU) is often a precursor to opioid use disorder (OUD) and subsequent consequences. Persons with chronic hepatitis C virus infection (CHC) may be at a higher risk of POU due to a higher comorbidity burden and social vulnerability factors. We sought to determine the burden of POU and associated risk factors among persons with CHC in the context of social vulnerability. We identified CHC persons and propensity-score matched HCV− controls in the electronically retrieved Cohort of HCV-Infected Veterans and determined the frequency of acute, episodic long-term and chronic long-term POU and the prevalence of social vulnerability factors among persons with POU. We used logistic regression analysis to determine factors associated with POU. Among 160,856 CHC and 160,856 propensity-score matched HCV-controls, acute POU was recorded in 38.4% and 38.0% (P = 0.01) respectively. Episodic long-term POU was recorded in 3.9% in each group (P = 0.5), while chronic long-term POU was recorded in 28.4% and 19.2% (P < 0.0001). CHC was associated with a higher risk of chronic long-term POU (OR 1.66, 95%CI 1.63, 1.69), but not with acute or episodic long-term POU. Black race, female sex and homelessness were associated with a higher risk of chronic long-term POU. Presence of ≥ 1 factor was associated with a higher risk of all POU patterns. Persons with CHC have more social vulnerability factors and a higher risk of chronic long-term POU. Presence of ≥ 1 social vulnerability factor is associated with a higher risk of POU. Downstream consequences of POU need further study.

Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts

Background

Opioid use disorder presents a public health issue afflicting millions across the globe. There is a pressing need to understand the opioid supply chain to gain new insights into the mitigation of opioid use and effectively combat the opioid crisis. The role of anonymous online marketplaces and forums that resemble eBay or Amazon, where anyone can post, browse, and purchase opioid commodities, has become increasingly important in opioid trading. Therefore, a greater understanding of anonymous markets and forums may enable public health officials and other stakeholders to comprehend the scope of the crisis. However, to the best of our knowledge, no large-scale study, which may cross multiple anonymous marketplaces and is cross-sectional, has been conducted to profile the opioid supply chain and unveil characteristics of opioid suppliers, commodities, and transactions.

Objective

We aimed to profile the opioid supply chain in anonymous markets and forums via a large-scale, longitudinal measurement study on anonymous market listings and posts. Toward this, we propose a series of techniques to collect data; identify opioid jargon terms used in the anonymous marketplaces and forums; and profile the opioid commodities, suppliers, and transactions.

Methods

We first conducted a whole-site crawl of anonymous online marketplaces and forums to solicit data. We then developed a suite of opioid domain–specific text mining techniques (eg, opioid jargon detection and opioid trading information retrieval) to recognize information relevant to opioid trading activities (eg, commodities, price, shipping information, and suppliers). Subsequently, we conducted a comprehensive, large-scale, longitudinal study to demystify opioid trading activities in anonymous markets and forums.

Results

A total of 248,359 listings from 10 anonymous online marketplaces and 1,138,961 traces (ie, threads of posts) from 6 underground forums were collected. Among them, we identified 28,106 opioid product listings and 13,508 opioid-related promotional and review forum traces from 5147 unique opioid suppliers’ IDs and 2778 unique opioid buyers’ IDs. Our study characterized opioid suppliers (eg, activeness and cross-market activities), commodities (eg, popular items and their evolution), and transactions (eg, origins and shipping destination) in anonymous marketplaces and forums, which enabled a greater understanding of the underground trading activities involved in international opioid supply and demand.

Conclusions

The results provide insight into opioid trading in the anonymous markets and forums and may prove an effective mitigation data point for illuminating the opioid supply chain.

Prevalence and Geographic Distribution of Obstetrician-Gynecologists Who Treat Medicaid Enrollees and Are Trained to Prescribe Buprenorphine

IMPORTANCE

The incidence of opioid use during pregnancy is increasing, and drug overdoses are a leading cause of postpartum mortality. Most women who are pregnant do not receive medications for treatment of opioid use disorder, despite the mortality benefit that these agents confer. Furthermore, buprenorphine is associated with milder symptoms of neonatal abstinence syndrome (NAS) compared with methadone.

OBJECTIVE

To describe the prevalence and geographic distribution across the US of obstetrician-gynecologists who can prescribe buprenorphine (henceforth described as X-waivered) in 2019.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional, nationwide study linking physician-specific data to county- and state-level data was conducted from September 1, 2019, to March 31, 2020. Data were obtained on 31 211 obstetrician-gynecologists who accept Medicaid insurance through the Centers for Medicare & Medicaid Services Physician Compare data set and linked to the Drug Addiction Treatment Act buprenorphine-waived clinician list.

EXPOSURES

State-level NAS incidence and county-level uninsured rates and rurality.

MAIN OUTCOMES AND MEASURES

Prevalence and geographic distribution of obstetrician-gynecologists who are trained to prescribe buprenorphine.

RESULTS

Among the 31 211 identified obstetrician-gynecologists, 18 710 (59.9%) were women. Most had hospital privileges (23 236 [74.4%]) and worked in metropolitan counties (28 613 [91.7%]). Only 560 of the identified obstetrician-gynecologists (1.8%) were X-waivered. Obstetrician-gynecologists in counties with fewer than 5% uninsured residents had nearly twice the odds of being X-waivered (adjusted odds ratio [aOR], 1.59; 95% CI, 1.04-2.44; P = .04) compared with those in counties with greater than 15% uninsured residents. Compared with those located in metropolitan counties, obstetrician-gynecologists in suburban counties (eg, urban population of ≥20 000 and adjacent to a metropolitan area) were more likely to be X-waivered (aOR, 1.85; 95% CI, 1.26-2.71; P = .002). Compared with states with an NAS rate of 5 per 1000 births or less, obstetrician-gynecologists in states with an NAS rate of 15 per 1000 births or greater had nearly 5 times the odds of being X-waivered (aOR, 4.94; 95% CI, 3.60-6.77; P < .001). Obstetrician-gynecologists without hospital privileges were more likely to be X-waivered (aOR, 1.32; 95% CI, 1.08-1.61; P = .007).

CONCLUSIONS AND RELEVANCE

Fewer than 2% of obstetrician-gynecologists who accept Medicaid are able to prescribe buprenorphine, and their geographic distribution appears to be skewed in favor of suburban counties. This finding suggests that there is an opportunity for health systems and professional societies to incentivize X-waiver trainings among obstetrician-gynecologists to increase patients' access to buprenorphine, especially during pregnancy.

Telehealth sustains patient engagement in OUD treatment during COVID-19

The coronavirus disease pandemic of 2019 (COVID-19) has created significant economic and societal burden, with mortality currently exceeding 615,000 and millions of others affected worldwide. For those with opioid use disorder (OUD), however, the impact on this vulnerable population could be even more severe. The objective of this study was to outline our organizational telehealth adaptations that enabled virtual counseling, peer support, groups, and provider care during COVID-19 in one community-based opioid treatment program. We utilized an observational study design during March to June 2020, during the initial peak of COVID-19 in the U.S. After we closed our facility for the first five business days, we rapidly enacted virtual care with telehealth for peer coaching, counseling, groups, and provider visits. While we lost patient volume during the initial weeks, we observed an overall increase in patient engagement over time. Future state and federal policy should focus on maintaining less stringent policies around the use of telehealth, prescribing, and in-person exams for medication for OUD.

•

COVID-19 has significantly halted traditional face-to-face MOUD encounters.

•

Telehealth can be used for treatment, peer recovery support, counseling, and groups.

•

Virtual encounters can sustain and even increase patient engagement during these times.

•

More permanent regulatory changes should be considered to support ongoing telehealth after COVID-19.

Alternatives to Arrest for Illicit Opioid Use: A Joint Criminal Justice and Healthcare Treatment Collaboration

Opioid overdoses continue to be a leading cause of death in the US. This public health crisis warrants innovative responses to help prevent fatal overdose. There is continued advocacy for collaborations between public health partners to create joint responses. The high correlation between persons with opioid use disorder who have a history of involvement in the criminal justice system is widely recognized, and allows for treatment intervention opportunities. Law enforcement-led treatment initiatives are still relatively new, with a few sparse early programs emerging almost a decade ago and only gaining popularity in the past few years. A lack of published methodologies creates a gap in the knowledge of applied programs that are effective and can be duplicated. This article seeks to outline an interagency relationship between police and healthcare that illustrates arrest is not the only option that law enforcement may utilize when encountering persons who use illicit substances. Program methods of a joint initiative between law enforcement and healthcare in a large, metropolitan area will be reviewed, supplemented with law enforcement overdose data and statistics on law enforcement treatment referrals.

Geographic proximity to buprenorphine treatment providers in the U.S

OBJECTIVE

To combat the growing opioid epidemic, people who use drugs need access to medications for opioid use disorder (MOUD) as part of comprehensive treatment. Despite progress, treatment gaps remain. Our objective was to use a geospatial buffering model to estimate treatment access for buprenorphine providers nationally.

METHODS

Using buprenorphine provider location data from the Substance Abuse and Mental Health Services Administration (SAMHSA) and population estimates from the U.S. Census, we use geospatial distance buffering analyses to estimate the percent of the population who are within reasonable (10, 30, 50 mile) driving distances from a buprenorphine provider across the contiguous states. Pearson correlation coefficients were used to analyze relationships between variables.

RESULTS

There were 47,000 buprenorphine practitioners across the contiguous states, or 14.3 per every 100,000 persons. Approximately 28 million citizens, or 9.2 % of the population, were outside of a 10-mile distance from the nearest buprenorphine provider and 2.65 million outside of a 30-mile range. There was a positive correlation between state's percentage rurality and percentage outside distance buffers (r = .491, p < .000) and access is lower in areas of higher need Texas had the absolute highest number of people outside the 10-mile distance buffer (3.7 million), although South Dakota had 46 % of its overall population outside that access point.

CONCLUSIONS

Wide variability in treatment access to buprenorphine providers exists across all states. Improving geospatial proximity to buprenorphine providers is an important goal, but more work needs to be done to improve treatment access especially in certain states.

Regional variation in states' naloxone accessibility laws in association with opioid overdose death rates-Observational study (STROBE compliant)

Though overall death from opioid overdose are increasing in the United States, the death rate in some states and population groups is stabilizing or even decreasing. Several states have enacted a Naloxone Accessibility Laws to increase naloxone availability as an opioid antidote. The extent to which these laws permit layperson distribution and possession varies. The aim of this study is to investigate differences in provisions of Naloxone Accessibility Laws by states mainly in the Northeast and West regions, and the impact of naloxone availability on the rates of drug overdose deaths.This cross-sectional study was based on the National Vital Statistics System multiple cause-of-death mortality files. The average changes in drug overdose death rates between 2013 and 2017 in relevant states of the Northeast and West regions were compared according to availability of naloxone to laypersons.Seven states in the Northeast region and 10 states in the Western region allowed layperson distribution of naloxone. Layperson possession of naloxone was allowed in 3 states each in the Northeast and the Western regions. The average drug overdose death rates increased in many states in the both regions regardless of legalization of layperson naloxone distribution. The average death rates of 3 states that legalized layperson possession in the West region decreased (-0.33 per 100,000 person); however, in states in the West region that did not allow layperson possession and states in the Northeast region regardless of layperson possession increased between 2013 and 2017.The provision to legalize layperson possession of naloxone was associated with decreased average opioid overdose death rates in 3 states of the West region.

Opioid use disorder research and the Council for the Advancement of Nursing Science priority areas

BACKGROUND

Chronic diseases, such as opioid use disorder (OUD) require a multifaceted scientific approach to address their evolving complexity. The Council for the Advancement of Nursing Science's (Council) four nursing science priority areas (precision health; global health, determinants of health, and big data/data analytics) were established to provide a framework to address current complex health problems.

PURPOSE

To examine OUD research through the nursing science priority areas and evaluate the appropriateness of the priority areas as a framework for research on complex health conditions.

METHOD

OUD was used as an exemplar to explore the relevance of the nursing science priorities for future research.

FINDINGS

Research in the four priority areas is advancing knowledge in OUD identification, prevention, and treatment. Intersection of OUD research population focus and methodological approach was identified among the priority areas.

DISCUSSION

The Council priorities provide a relevant framework for nurse scientists to address complex health problems like OUD.

County-level factors underlying opioid mortality in the United States

Background: Mortality from overdoses involving opioids in the United States (U.S.) has reached epidemic proportions. More research is needed to examine the underlying factors contributing to opioid-related mortality regionally. This study's objective was to identify and examine the county-level factors most closely associated with opioid-related overdose deaths across all counties in the U.S. Methods: Using a national cross-sectional ecological study design, we analyzed the relationships between 17 county-level characteristics in four categories (i.e. socio-economic, availability of medical care, health-related concerns, and demographics) with opioid mortality. Data were extracted from the Robert Wood Johnson County Health Rankings aggregate database and Centers for Disease Control and Prevention (CDC)'s Wide-ranging Online Data for Epidemiological Research (WONDER) system. Results: There were 1058 counties (33.67% of 3142 nationally) with reported opioid-related fatalities. Median opioid-related mortality was 15.61 per 100,000 persons. Multivariate regression results indicate that counties with the highest opioid-related mortality had increased rates of tobacco use, HIV, Non-Hispanic Caucasians, and females and were rural areas, but lower rates of food insecurity and uninsured adults. The rates of tobacco use and HIV had the strongest association with mortality. Availability of either mental health or primary care providers were not significantly associated with mortality. Severe housing problems, high school graduation rate, obesity, violent crime, and median household income also did not contribute to county-level differences in overdose mortality. Conclusions: Future health policies should fund further investigations and ultimately address the most influential and significant underlying county-level factors associated with opioid-related mortality.

Routes of non-traditional entry into buprenorphine treatment programs

BACKGROUND

Excessive prescribing, increased potency of opioids, and increased availability of illicit heroin and synthetic analogs such as fentanyl has resulted in an increase of overdose fatalities. Medications for opioid use disorder (MOUD) significantly reduces the risk of overdose when compared with no treatment. Although the use of buprenorphine as an agonist treatment for opioid use disorder (OUD) is growing significantly, barriers remain which can prevent or delay treatment. In this study we examine non-traditional routes which could facilitate entry into buprenorphine treatment programs.

METHODS

Relevant, original research publications addressing entry into buprenorphine treatment published during the years 1989-2019 were identified through PubMed, PsychInfo, PsychArticles, and Medline databases. We operationalized key terms based on three non-traditional paths: persons that entered treatment via the criminal justice system, following emergencies, and through community outreach.

RESULTS

Of 462 screened articles, twenty studies met the inclusion criteria for full review. Most studies were from the last several years, and most (65%) were from the Northeastern region of the United States. Twelve (60%) were studies suggesting that the criminal justice system could be a potentially viable entry route, both pre-release or post-incarceration. The emergency department was also found to be a cost-effective and viable route for screening and identifying individuals with OUD and linking them to buprenorphine treatment. Fewer studies have documented community outreach initiatives involving buprenorphine. Most studies were small sample size (mean = < 200) and 40% were randomized trials.

CONCLUSIONS

Despite research suggesting that increasing the number of Drug Addiction Treatment Act (DATA) waived physicians who prescribe buprenorphine would help with the opioid treatment gap, little research has been conducted on routes to increase utilization of treatment. In this study, we found evidence that engaging individuals through criminal justice, emergency departments, and community outreach can serve as non-traditional treatment entry points for certain populations. Alternative routes could engage a greater number of people to initiate MOUD treatment.

Outreach to people who survive opioid overdose: Linkage and retention in treatment

Cognitive motivation theories contend that individuals have greater readiness for behavioral change during critical periods or life events, and a non-fatal overdose could represent such an event. The objective of this study was to examine if the use of a specialized mobile response team (assertive outreach) could help identify, engage, and retain people who have survived an overdose into a comprehensive treatment program. We developed an intervention, consisting of mobile outreach followed by medication and behavioral treatment, in Houston Texas between April and December 2018. Our primary outcome variables were the level of willingness to engage in treatment, and percent who retained in treatment after 30 and 90 day endpoints. We screened 103 individuals for eligibility, and 34 (33%) elected to engage in the treatment program, while two-thirds chose not to engage in treatment, primarily due to low readiness levels. The average age was 38.2 ± 12 years, 56% were male, 79% had no health insurance, and the majority (77%) reported being homeless or in temporary housing. There were 30 (88%) participants still active in the treatment program after 30 days, and 19 (56%) after 90 days. Given the high rates of relapse using conventional models, which wait for patients to present to treatment, our preliminary results suggest that assertive outreach could be a promising strategy to motivate people to enter and remain in long-term treatment.

Opioid prescribing patterns and overdose deaths in Texas

BACKGROUND

Opioid use disorder has recently been declared a public health emergency, yet it is unknown whether opioid prescribing patterns have changed over time. Our objective is to examine opioid prescribing behavior and overdose fatalities in one large state prior to state-mandated usage of a prescription drug monitoring program (PDMP). Methods: We relied on de-identified longitudinal data from state and national databases for opioid prescriptions and overdose deaths in Texas between 2013 and 2017. Descriptive statistics and trend analyses were used to assess proportional differences and changes over time. Results: Prescriptions for opioids represented over 45% of the total controlled medications dispensed across the entire period. This equates to roughly 17.7 million opioid prescriptions dispensed per year, or 63.7 opioid prescriptions per 100 persons, slightly less than the reported national average. Hydrocodone was the most widely prescribed opioid (32.9%), followed by tramadol (26.9%) and codeine (21.5%). The overall controlled substance prescribing rate appears to be decreasing in the latest year, and the composition of opioids has shifted. We found a reduction in schedule II medications (such as hydrocodone and fentanyl) and increase in schedule IV medications such as tramadol. At the same time, total overdose fatalities increased 42% during this time, and population-adjusted rates increased 34% to 5.87 deaths per 100,000 persons. Conclusions: While prescribing rates have decreased in Texas, overdose deaths from both legal and illicit opioids are rising, suggesting that changing physician prescribing behavior alone may not be sufficient to curb the epidemic. Policies and community interventions should be considered to address increases in both prescription and illicit opioid deaths.

Characteristics of US Counties With High Opioid Overdose Mortality and Low Capacity to Deliver Medications for Opioid Use Disorder

Importance

Opioid overdose deaths in the United States continue to increase, reflecting a growing need to treat those with opioid use disorder (OUD). Little is known about counties with high rates of opioid overdose mortality but low availability of OUD treatment.

Objective

To identify characteristics of US counties with persistently high rates of opioid overdose mortality and low capacity to deliver OUD medications.

Design, Setting, and Participants

In this cross-sectional study of data from 3142 US counties from January 1, 2015, to December 31, 2017, rates of opioid overdose mortality were compared with availability in 2017 of OUD medication providers (24 851 buprenorphine-waivered clinicians [physicians, nurse practitioners, and physician assistants], 1517 opioid treatment programs [providing methadone], and 5222 health care professionals who could prescribe extended-release naltrexone). Statistical analysis was performed from April 20, 2018, to May 8, 2019.

Exposures

Demographic, workforce, lack of insurance, road density, urbanicity, opioid prescribing, and regional division county-level characteristics.

Main Outcome and Measures

The outcome variable, "opioid high-risk county," was a binary indicator of a high (above national) rate of opioid overdose mortality with a low (below national) rate of provider availability to deliver OUD medication. Spatial logistic regression models were used to determine associations with being an opioid high-risk county.

Results

Of 3142 counties, 751 (23.9%) had high rates of opioid overdose mortality. A total of 1457 counties (46.4%), and 946 of 1328 rural counties (71.2%), lacked a publicly available OUD medication provider in 2017. In adjusted models, compared with the West North Central division, counties in the East North Central, Mountain, and South Atlantic divisions had increased odds of being opioid high-risk counties (East North Central: odds ratio [OR], 2.21; 95% CI, 1.19-4.12; Mountain: OR, 4.15; 95% CI, 1.34-12.89; and South Atlantic: OR, 2.99; 95% CI, 1.26-7.11). A 1% increase in unemployment was associated with increased odds (OR, 1.09; 95% CI, 1.03-1.15) of a county being an opioid high-risk county. Counties with an additional 10 primary care clinicians per 100 000 population had a reduced risk of being opioid high-risk counties (OR, 0.89; 95% CI, 0.85-0.93), as did counties that were micropolitan (vs metropolitan) (OR, 0.67; 95% CI, 0.50-0.90) and those that had an additional 1% of the population younger than 25 years (OR, 0.95; 95% CI, 0.92-0.98).

Conclusions and Relevance

Counties with low availability of OUD medication providers and high rates of opioid overdose mortality were less likely to be micropolitan and have lower primary care clinician density, but were more likely to be in the East North Central, South Atlantic, or Mountain division and have higher rates of unemployment. Strategies to increase medication treatment must account for these factors.