Racial Inequality in Receipt of Medications for Opioid Use Disorder.

BACKGROUND: Since 2010, Black persons in the United States have had a greater increase in opioid overdose-related mortality than other groups, but national-level evidence characterizing racial and ethnic disparities in the use of medications for opioid use disorder (OUD) is limited. METHODS: We used Medicare claims data from the 2016-2019 period for a random 40% sample of fee-for-service beneficiaries who were Black, Hispanic, or White; were eligible for Medicare owing to disability; and had an index event related to OUD (nonfatal overdose treated in an emergency department or inpatient setting, hospitalization with injection drug use-related infection, or inpatient or residential rehabilitation or detoxification care). We measured the receipt of medications to treat OUD (buprenorphine, naltrexone, and naloxone), the receipt of high-risk medications (opioid analgesics and benzodiazepines), and health care utilization, all in the 180 days after the index event. We estimated differences in outcomes according to race and ethnic group with adjustment for beneficiary age, sex, index event, count of chronic coexisting conditions, and state of residence. RESULTS: We identified 25,904 OUD-related index events among 23,370 beneficiaries, with 3937 events (15.2%) occurring among Black patients, 2105 (8.1%) among Hispanic patients, and 19,862 (76.7%) among White patients. In the 180 days after the index event, patients received buprenorphine after 12.7% of events among Black patients, after 18.7% of those among Hispanic patients, and after 23.3% of those among White patients; patients received naloxone after 14.4%, 20.7%, and 22.9%, respectively; and patients received benzodiazepines after 23.4%, 29.6%, and 37.1%, respectively. Racial differences in the receipt of medications to treat OUD did not change appreciably from 2016 to 2019 (buprenorphine receipt: after 9.1% of index events among Black patients vs. 21.6% of those among White patients in 2016, and after 14.1% vs. 25.5% in 2019). In all study groups, patients had multiple ambulatory visits in the 180 days after the index event (mean number of visits, 6.6 after events among Black patients, 6.7 after events among Hispanic patients, and 7.6 after events among White patients). CONCLUSIONS: Racial and ethnic differences in the receipt of medications to treat OUD after an index event related to this disorder among patients with disability were substantial and did not change over time. The high incidence of ambulatory visits in all groups showed that disparities persisted despite frequent health care contact. (Funded by the National Institute on Drug Abuse and the National Institute on Aging.).

Simulating the Simultaneous Impact of Medication for Opioid Use Disorder and Naloxone on Opioid Overdose Death in Eight New York Counties.

BACKGROUND: The United States is in the midst of an opioid overdose epidemic; 28.3 per 100,000 people died of opioid overdose in 2020. Simulation models can help understand and address this complex, dynamic, and nonlinear social phenomenon. Using the HEALing Communities Study, aimed at reducing opioid overdoses, and an agent-based model, Simulation of Community-Level Overdose Prevention Strategy, we simulated increases in buprenorphine initiation and retention and naloxone distribution aimed at reducing overdose deaths by 40% in New York Counties. METHODS: Our simulations covered 2020-2022. The eight counties contrasted urban or rural and high and low baseline rates of opioid use disorder treatment. The model calibrated agent characteristics for opioid use and use disorder, treatments and treatment access, and fatal and nonfatal overdose. Modeled interventions included increased buprenorphine initiation and retention, and naloxone distribution. We predicted a decrease in the rate of fatal opioid overdose 1 year after intervention, given various modeled intervention scenarios. RESULTS: Counties required unique combinations of modeled interventions to achieve a 40% reduction in overdose deaths. Assuming a 200% increase in naloxone from current levels, high baseline treatment counties achieved a 40% reduction in overdose deaths with a simultaneous 150% increase in buprenorphine initiation. In comparison, low baseline treatment counties required 250-300% increases in buprenorphine initiation coupled with 200-1000% increases in naloxone, depending on the county. CONCLUSIONS: Results demonstrate the need for tailored county-level interventions to increase service utilization and reduce overdose deaths, as the modeled impact of interventions depended on the county's experience with past and current interventions.

Overdose from Unintentional Fentanyl Use when Intending to Use a Non-opioid Substance: An Analysis of Medically Attended Opioid Overdose Events.

Fentanyl-mixed and substituted heroin is well-documented, but less is known about unintentional fentanyl use among people using stimulants. To determine the prevalence of and racial and ethnic disparities in unintentional fentanyl use among people experiencing a medically attended opioid overdose, we reviewed 448 suspected non-fatal overdose cases attended by a community paramedic overdose response team in San Francisco from June to September 2022. We applied a case definition for opioid overdose to paramedic records and abstracted data on intended substance use prior to overdose. Among events meeting case criteria with data on intended substance use, intentional opioid use was reported by 57.3%, 98.0% of whom intended to use fentanyl. No intentional opioid use was reported by 42.7%, with most intending to use stimulants (72.6%), including methamphetamine and cocaine. No intentional opioid use was reported by 58.5% of Black, 52.4% of Latinx, and 28.8% of White individuals (p = 0.021), and by 57.6% of women and 39.5% of men (p = 0.061). These findings suggest that unintentional fentanyl use among people without opioid tolerance may cause a significant proportion of opioid overdoses in San Francisco. While intentional fentanyl use might be underreported, the magnitude of self-reported unintentional use merits further investigation to confirm this phenomenon, explore mechanisms of use and disparities by race and ethnicity, and deploy targeted overdose prevention interventions.

Associations among drug acquisition and use behaviors, psychosocial attributes, and opioid-involved overdoses.

AIMS: This study sought to develop and assess an exploratory model of how demographic and psychosocial attributes, and drug use or acquisition behaviors interact to affect opioid-involved overdoses. DESIGN: We conducted exploratory and confirmatory factor analysis (EFA/CFA) to identify a factor structure for ten drug acquisition and use behaviors. We then evaluated alternative structural equation models incorporating the identified factors, adding demographic and psychosocial attributes as predictors of past-year opioid overdose. SETTING AND PARTICIPANTS: We used interview data collected for two studies recruiting opioid-misusing participants receiving services from a community-based syringe services program. The first investigated current attitudes toward drug-checking (N = 150). The second was an RCT assessing a telehealth versus in-person medical appointment for opioid use disorder treatment referral (N = 270). MEASUREMENTS: Demographics included gender, age, race/ethnicity, education, and socioeconomic status. Psychosocial measures were homelessness, psychological distress, and trauma. Self-reported drug-related risk behaviors included using alone, having a new supplier, using opioids with benzodiazepines/alcohol, and preferring fentanyl. Past-year opioid-involved overdoses were dichotomized into experiencing none or any. FINDINGS: The EFA/CFA revealed a two-factor structure with one factor reflecting drug acquisition and the second drug use behaviors. The selected model (CFI = .984, TLI = .981, RMSEA = .024) accounted for 13.1% of overdose probability variance. A latent variable representing psychosocial attributes was indirectly associated with an increase in past-year overdose probability (ß = .234, p = .001), as mediated by the EFA/CFA identified latent variables: drug acquisition (ß = .683, p < .001) and drug use (ß = .567, p = .001). Drug use behaviors (ß = .287, p = .04) but not drug acquisition (ß = .105, p = .461) also had a significant, positive direct effect on past-year overdose. No demographic attributes were significant direct or indirect overdose predictors. CONCLUSIONS: Psychosocial attributes, particularly homelessness, increase the probability of an overdose through associations with risky drug acquisition and drug-using behaviors. Further research is needed to replicate these findings with populations at high-risk of an opioid-related overdose to assess generalizability and refine the metrics used to assess psychosocial characteristics.

Reducing the Likelihood of Opioid Overdose Fatalities on College and University Campuses: An Action Plan and Model.

For more than two decades there has been a continuous rise in opioid overdose related deaths. The majority of the deaths include the age range when, traditionally, individuals are likely to attend college or university. As a result, Vassar College has taken the important initiative and created and implemented a new opioid overdose intervention strategy and action plan called AED+. AED+ expands on the Model of Greater Awareness, Training and Increased Availability of and Accessibility to Life Saving Intervention Devices; a model that was created based on AED devices improving outcomes of out-of-hospital cardiac arrest emergencies. Similar to AED's improving out-of-hospital cardiac arrest outcomes, the + component of the AED+ initiative increases awareness and provides basic, targeted education about naloxone and its use. Furthermore, the education includes information about naloxone's greater availability and its more immediate access across the campus by students, staff, faculty, administrators, and visitors in the event of a suspected opioid overdose. Starting in May 2023, members of the school's Health Service and senior administrative leaders identified it necessary to be proactive and not reactive to managing an opioid overdose in the campus community. Although Vassar College has not recently experienced an opioid overdose, it is confidently projected that these targeted actions will proactively and positively reduce the likelihood of opioid-related fatalities on campus. Furthermore, it is the purpose of this article to share the AED+ model so other colleges and universities can modify it to best fit their unique setting in order to improve opioid overdose outcomes.

A Framework for Developing and Assessing Custom Case Definitions: A Demonstration Applied to Opioid Overdose in Maryland.

CONTEXT: Public health epidemiologists monitor data sources for disease outbreaks and other events of public health concern, but manual review of records to identify cases of interest is slow and labor-intensive and may not reflect evolving data practices. To automatically identify cases from electronic data sources, epidemiologists must use "case definitions" or formal logic that captures the criteria used to identify a record as a case of interest. OBJECTIVE: To establish a methodology for development and evaluation of case definitions. A logical evaluation framework to approach case definitions will allow jurisdictions the flexibility to implement a case definition tailored to their goals and available data. DESIGN: Case definition development is explained as a process with multiple logical components combining free-text and categorical data fields. The process is illustrated with the development of a case definition to identify emergency medical services (EMS) call records related to opioid overdoses in Maryland. SETTING: The Maryland Department of Health (MDH) installation of the Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE), which began capturing EMS call records in ESSENCE in 2019 to improve statewide coverage of all-hazards health issues. RESULTS: We describe a case definition evaluation framework and demonstrate its application through development of an opioid overdose case definition to be used in MDH ESSENCE. We show the iterative process of development, from defining how a case can be identified conceptually to examining each component of the conceptual definition and then exploring how to capture that component using available data. CONCLUSION: We present a framework for developing and qualitatively assessing case definitions and demonstrate an application of the framework to identifying opioid overdose incidents from MDH EMS data. We discuss guidelines to support jurisdictions in applying this framework to their own data and public health challenges to improve local surveillance capability.

Update of a Multivariable Opioid Overdose Risk Prediction Model to Enhance Clinical Care for Long-term Opioid Therapy Patients.

BACKGROUND: Clinical opioid overdose risk prediction models can be useful tools to reduce the risk of overdose in patients prescribed long-term opioid therapy (LTOT). However, evolving overdose risk environments and clinical practices in addition to potential harmful model misapplications require careful assessment prior to widespread implementation into clinical care. Models may need to be tailored to meet local clinical operational needs and intended applications in practice. OBJECTIVE: To update and validate an existing opioid overdose risk model, the Kaiser Permanente Colorado Opioid Overdose (KPCOOR) Model, in patients prescribed LTOT for implementation in clinical care. DESIGN, SETTING, AND PARTICIPANTS: The retrospective cohort study consisted of 33, 625 patients prescribed LTOT between January 2015 and June 2019 at Kaiser Permanente Colorado, with follow-up through June 2021. MAIN MEASURES: The outcome consisted of fatal opioid overdoses identified from vital records and non-fatal opioid overdoses from emergency department and inpatient settings. Predictors included demographics, medication dispensings, substance use disorder history, mental health history, and medical diagnoses. Cox proportional hazards regressions were used to model 2-year overdose risk. KEY RESULTS: During follow-up, 65 incident opioid overdoses were observed (111.4 overdoses per 100,000 person-years) in the study cohort, of which 11 were fatal. The optimal risk model needed to risk-stratify patients and to be easily interpreted by clinicians. The original 5-variable model re-validated on the new study cohort had a bootstrap-corrected C-statistic of 0.73 (95% CI, 0.64-0.85) compared to a C-statistic of 0.80 (95% CI, 0.70-0.88) in the updated model and 0.77 (95% CI, 0.66-0.87) in the final adapted 7-variable model, which was also well-calibrated. CONCLUSIONS: Updating and adapting predictors for opioid overdose in the KPCOOR Model with input from clinical partners resulted in a parsimonious and clinically relevant model that was poised for integration in clinical care.

Emergency Department Visits Involving Mental Health Conditions, Suicide-Related Behaviors, and Drug Overdoses Among Adolescents - United States, January 2019-February 2023.

The U.S. adolescent mental and behavioral health crisis is ongoing,* with high pre-COVID-19 pandemic baseline rates† (1) and further increases in poor mental health (2), suicide-related behaviors (3), and drug overdose deaths (4) reported during 2020-2021. CDC examined changes in U.S. emergency department (ED) visits for mental health conditions (MHCs) overall and for nine specific MHCs,§ suicide-related behaviors (including suspected suicide attempts), and drug-involved overdoses (including opioids) among children and adolescents aged 12-17 years (adolescents) during January 2019-February 2023, overall and by sex. Compared with fall 2021, by fall 2022, decreases in weekly ED visits were reported among all adolescents, and females specifically, for MHCs overall, suicide-related behaviors, and drug overdoses; weekly ED visits among males were stable. During this same period, increases in weekly ED visits for opioid-involved overdoses were detected. Mean weekly ED visits in fall 2022 for suicide-related behaviors and MHCs overall were at or lower than the 2019 prepandemic baseline, respectively, and drug overdose visits were higher. Differences by sex were observed; levels among females were at or higher than prepandemic baselines for these conditions. These findings suggest some improvements as of fall 2022 in the trajectory of adolescent mental and behavioral health, as measured by ED visits; however, poor mental and behavioral health remains a substantial public health problem, particularly among adolescent females. Early identification and trauma-informed interventions, coupled with expanded evidence-based, comprehensive prevention efforts, are needed to support adolescents' mental and behavioral health.

Risks of opioid overdose among New York State Medicaid recipients with chronic pain before and during the COVID-19 pandemic.

OBJECTIVE: The COVID-19 pandemic contributed to healthcare disruptions for patients with chronic pain. Following initial disruptions, national policies were enacted to expand access to long-term opioid therapy (LTOT) for chronic pain and opioid use disorder (OUD) treatment services, which may have modified risk of opioid overdose. We examined associations between LTOT and/or OUD with fatal and non-fatal opioid overdoses, and whether the pandemic moderated overdose risk in these groups. METHODS: We analyzed New York State Medicaid claims data (3/1/2019-12/31/20) of patients with chronic pain (N = 236,391). We used generalized estimating equations models to assess associations between LTOT and/or OUD (neither LTOT or OUD [ref], LTOT only, OUD only, and LTOT and OUD) and the pandemic (03/2020-12/2020) with opioid overdose. RESULTS: The pandemic did not significantly (ns) affect opioid overdose among patients with LTOT and/or OUD. While patients with LTOT (vs. no LTOT) had a slight increase in opioid overdose during the pandemic (pre-pandemic: aOR:1.65, 95% CI:1.05, 2.57; pandemic: aOR:2.43, CI:1.75,3.37, ns), patients with OUD had a slightly attenuated odds of overdose during the pandemic (pre-pandemic: aOR:5.65, CI:4.73, 6.75; pandemic: aOR:5.16, CI:4.33, 6.14, ns). Patients with both LTOT and OUD also experienced a slightly reduced odds of opioid overdose during the pandemic (pre-pandemic: aOR:5.82, CI:3.58, 9.44; pandemic: aOR:3.70, CI:2.11, 6.50, ns). CONCLUSIONS: Findings demonstrated no significant effect of the pandemic on opioid overdose among people with chronic pain and LTOT and/or OUD, suggesting pandemic policies expanding access to chronic pain and OUD treatment services may have mitigated the risk of opioid overdose.

Examining Increasing Racial Inequities in Opioid Overdose Deaths: a Spatiotemporal Analysis of Black and White Decedents in St. Louis, Missouri, 2011-2021.

The third wave of the opioid overdose crisis-defined by the proliferation of illicit fentanyl and its analogs-has not only led to record numbers of overdose deaths but also to unprecedented racial inequities in overdose deaths impacting Black Americans. Despite this racialized shift in opioid availability, little research has examined how the spatial epidemiology of opioid overdose death has also shifted. The current study examines the differential geography of OOD by race and time (i.e., pre-fentanyl versus fentanyl era) in St. Louis, Missouri. Data included decedent records from the local medical examiners suspected to involve opioid overdose (N = 4420). Analyses included calculating spatial descriptive analyses and conducting hotspot analyses (i.e., Gettis-Ord Gi*) stratified by race (Black versus White) and time (2011-2015 versus 2016-2021). Results indicated that fentanyl era overdose deaths were more densely clustered than pre-fentanyl era deaths, particularly those among Black decedents. Although hotspots of overdose death were racially distinct pre-fentanyl, they substantially overlapped in the fentanyl era, with both Black and White deaths clustering in predominantly Black neighborhoods. Racial differences were observed in substances involved in cause of death and other overdose characteristics. The third wave of the opioid crisis appears to involve a geographic shift from areas where White individuals live to those where Black individuals live. Findings demonstrate racial differences in the epidemiology of overdose deaths that point to built environment determinants for future examination. Policy interventions targeting high-deprivation communities are needed to reduce the burden of opioid overdose on Black communities.

Associations with experience of non-fatal opioid overdose in British Columbia, Canada: a repeated cross sectional survey study.

INTRODUCTION: Lives lost in North America due to the unregulated drug poisoning emergency are preventable and those who survive an opioid overdose may suffer long-term disability. Rates of opioid overdose more than doubled following the onset of the COVID-19 pandemic in British Columbia, Canada. MATERIALS AND METHODS: Our analytical sample was comprised of 1447 participants from the 2018, 2019, and 2021 Harm Reduction Client Survey who responded yes or no to having experienced an opioid overdose in the past 6 months. Participants were recruited from harm reduction sites from across British Columbia. We used logistic regression to explore associations of experiencing an opioid overdose. RESULTS: Overall, 21.8% of participants reported experiencing an opioid overdose in the last six months (18.2% in 2019 and 26.6% in 2021). The following factors were positively associated with increased adjusted odds of experiencing a non-fatal opioid overdose: cis men relative to cis women (AOR 1.49, 95% CI 1.10-2.02), unstably housed compared to people with stable housing (AOR 1.87, 95% CI 1.40-2.50), and participants from 2021 compared to those from 2019 (AOR 3.06, 95% CI 1.57-5.97). The effects of both previous experience of a stimulant overdose and having witnessed an opioid overdose depended on the year of study, with both effects decreasing over subsequent years. CONCLUSIONS: Overdoses have increased over time; in 2021 more than one in four participants experienced an overdose. There is an urgent need for policy and program development to meaningfully address the unregulated drug poisoning emergency through acceptable life-saving interventions and services to prevent overdoses and support overdose survivors.

Exploring the intersectionality of characteristics among those who experienced opioid overdoses: A cluster analysis.

Background: As Canada continues to experience an opioid crisis, it is important to understand the intersection between the demographic, socioeconomic and service use characteristics of those experiencing opioid overdoses to better inform prevention and treatment programs. Data and methods: The Statistics Canada British Columbia Opioid Overdose Analytical File (BCOOAF) represents people's opioid overdoses between January 2014 and December 2016 (n = 13,318). The BCOOAF contains administrative health data from British Columbia linked to Statistics Canada data, including on health, employment, social assistance and police contacts. Cluster analysis was conducted using the k-prototypes algorithm. Results: The results revealed a six-cluster solution, composed of three groups (A, B and C), each with two distinct clusters (1 and 2). Individuals in Group A were predominantly male, used non-opioid prescription medications and had varying levels of employment. Individuals in Cluster A1 were employed, worked mostly in construction, had high incomes and had a high rate of fatal overdoses, while individuals in Cluster A2 were precariously employed and had varying levels of income. Individuals in Group B were predominantly female; were mostly taking prescription opioids, with about one quarter or less receiving opioid agonist treatment (OAT); mostly had precarious to no employment; and had low to no income. People in Cluster B1 were primarily middle-aged (45 to 65 years) and on social assistance, while people in Cluster B2 were older, more frequently used health services and had no social assistance income. Individuals in Group C were primarily younger males aged 24 to 44 years, with higher prevalence of having experienced multiple overdoses, were medium to high users of health care services, were mostly unemployed and were recipients of social assistance. Most had multiple contacts with police. Those in Cluster C1 predominantly had no documented use of prescription opioid medications, and all had no documented OAT, while all individuals in Cluster C2 were on OAT. Interpretation: The application of machine learning techniques to a multidimensional database enables an intersectional approach to study those experiencing opioid overdoses. The results revealed distinct patient profiles that can be used to better target interventions and treatment.

Racial/ethnic differences in receipt of naloxone distributed by opioid overdose prevention programs in New York City.

INTRODUCTION: We evaluated racial/ethnic differences in the receipt of naloxone distributed by opioid overdose prevention programs (OOPPs) in New York City (NYC). METHODS: We used naloxone recipient racial/ethnic data collected by OOPPs from April 2018 to March 2019. We aggregated quarterly neighborhood-specific rates of naloxone receipt and other covariates to 42 NYC neighborhoods. We used a multilevel negative binomial regression model to assess the relationship between neighborhood-specific naloxone receipt rates and race/ethnicity. Race/ethnicity was stratified into four mutually exclusive groups: Latino, non-Latino Black, non-Latino White, and non-Latino Other. We also conducted racial/ethnic-specific geospatial analyses to assess whether there was within-group geographic variation in naloxone receipt rates for each racial/ethnic group. RESULTS: Non-Latino Black residents had the highest median quarterly naloxone receipt rate of 41.8 per 100,000 residents, followed by Latino residents (22.0 per 100,000), non-Latino White (13.6 per 100,000) and non-Latino Other residents (13.3 per 100,000). In our multivariable analysis, compared with non-Latino White residents, non-Latino Black residents had a significantly higher receipt rate, and non-Latino Other residents had a significantly lower receipt rate. In the geospatial analyses, both Latino and non-Latino Black residents had the most within-group geographic variation in naloxone receipt rates compared to non-Latino White and Other residents. CONCLUSIONS: This study found significant racial/ethnic differences in naloxone receipt from NYC OOPPs. We observed substantial variation in naloxone receipt for non-Latino Black and Latino residents across neighborhoods, indicating relatively poorer access in some neighborhoods and opportunities for new approaches to address geographic and structural barriers in these locations.

Applying a Social Determinants of Health Approach to the Opioid Epidemic.

Ohio is one of the hardest-hit states in the United States when it comes to opioid overdose deaths. Confronted with over 4,000 opioid overdose deaths in 2017, the Ohio Department of Mental Health and Addiction Services launched the Community Collective Impact Model for Change (CCIM4C) initiative to encourage 12 Ohio counties to think more deeply about primary prevention. By moving upstream and taking a look at the causes of the opioid crisis, the counties involved in the CCIM4C initiative were able to expand the range of potential partners and potential solutions, moving from emergency response alone to broader efforts to support social connection, economic security, and other social determinants of health. Each county brought together a wide array of partners, including local employers, community colleges, health care organizations, faith leaders, youth-serving organizations, first responders, librarians, school board members, public health officials, parks and recreation staff, and people with lived experience. This article focuses on the efforts of three counties-Ashtabula, Lorain, and Lawrence-to take on the community conditions that increase the risk of unhealthy substance use and addiction. It describes what they learned as they went beyond a sole focus on preventing opioid overdoses and deaths-as critically important as that is-to transforming their communities to support health and well-being in the first place.

Patient-Level and County-Level Trends in Nonfatal Opioid-Involved Overdose Emergency Medical Services Encounters - 491 Counties, United States, January 2018-March 2022.

The number of nonfatal opioid-involved overdoses treated by health care providers has risen in the United States; the median number of emergency department (ED) visits for these overdoses was significantly higher during 2020 than during 2019 (1). ED visit data can underestimate nonfatal opioid-involved overdose incidence because, increasingly, persons experiencing a nonfatal opioid overdose are refusing transport to EDs by emergency medical services (EMS) (2). A study in Kentucky found that during a 6-month period, 19.8% of persons treated by EMS for an opioid overdose refused transport to an ED (2). Thus, EMS encounter data involving suspected nonfatal opioid-involved overdoses complement ED data and also allow for near real-time analysis (3). This report describes trends in rates of EMS encounters for nonfatal opioid-involved overdoses per 10,000 total EMS encounters (rates) by selected patient- and county-level characteristics during January 2018­March 2022 in 491 counties from 21 states using data from biospatial, Inc.* During this period, the nonfatal opioid-involved overdose rate increased, on average, 4.0% quarterly. Rates increased for both sexes and for most age groups. Rates were highest among non-Hispanic White (White) and non-Hispanic Native Hawaiian or other Pacific Islander (NH/OPI) persons, and increases were largest among non-Hispanic Black (Black), followed by Hispanic or Latino (Hispanic) persons. Rates increased in both urban and rural counties and for all quartiles of county-level characteristics (i.e., unemployment, education, and uninsured), except in counties with the lowest percentage of uninsured persons. Rates were highest and rate increases were largest in urban counties and counties with higher unemployment rates. This analysis of nonfatal opioid-involved overdose trends in EMS data highlights the utility of these data and the importance of addressing inequities that contribute to disproportionate overdose risk, such as through focused outreach to racial and ethnic minority groups, who disproportionately experience these inequities, and communities with higher levels of unemployment. EMS providers are in a unique position to engage in postoverdose response protocols and promote evidence-based overdose education and facilitate linkage to care and harm reduction services.†,§

Naloxone and Buprenorphine Prescribing Following US Emergency Department Visits for Suspected Opioid Overdose: August 2019 to April 2021.

STUDY OBJECTIVE: Nonfatal emergency department (ED) visits for opioid overdose are important opportunities to prescribe naloxone and buprenorphine, both of which can prevent future overdose-related mortality. We assessed the rate of this prescribing using national data from August 2019 to April 2021, a period during which US opioid overdose deaths reached record levels. METHODS: We conducted a retrospective cohort analysis using Symphony Health's Integrated Dataverse, which includes data from 5,800 hospitals and 70,000 pharmacies. Of ED visits for opioid overdose between August 4, 2019, and April 3, 2021, we calculated the proportion with at least 1 naloxone prescription within 30 days and repeated this analysis for buprenorphine. To contextualize the naloxone prescribing rate, we calculated the proportion of ED visits for anaphylaxis with at least 1 prescription for epinephrine-another life-saving rescue medication-within 30 days. RESULTS: Analyses included 148,966 ED visits for opioid overdose. Mean weekly visits increased 23.6% during the period between April 26, 2020 and October 3, 2020 compared with the period between August 4, 2019 to April 25, 2020. Visits declined to prepandemic levels between October 4, 2020 and March 13, 2021, after which visits began to rise. Naloxone and buprenorphine were prescribed within 30 days at 7.4% and 8.5% of the 148,966 visits, respectively. The naloxone prescribing rate (7.4%) was substantially lower than the epinephrine prescribing rate (48.9%) after ED visits for anaphylaxis. CONCLUSION: Between August 4, 2019, and April 3, 2021, naloxone and buprenorphine were only prescribed after 1 in 13 and 1 in 12 ED visits for opioid overdose, respectively. Findings suggest that clinicians are missing critical opportunities to prevent opioid overdose-related mortality.

Impact of the COVID-19 Pandemic on Opioid Overdose Deaths: a Spatiotemporal Analysis.

The effects of the opioid crisis have varied across diverse and socioeconomically defined urban communities, due in part to widening health disparities. The onset of the COVID-19 pandemic has coincided with a spike in drug overdose deaths in the USA. However, the extent to which the impact of the pandemic on overdose deaths has varied across different demographics in urban neighborhoods is unclear. We examine the influence of COVID-19 pandemic on opioid overdose deaths through spatiotemporal analysis techniques. Using Milwaukee County, Wisconsin as a study site, we used georeferenced opioid overdose data to examine the locational and demographic differences in overdose deaths over time (2017-2020). We find that the pandemic significantly increased the monthly overdose deaths. The worst effects were seen in the poor, urban neighborhoods, affecting Black and Hispanic communities. However, more affluent, suburban White communities also experienced a rise in overdose deaths. A better understanding of contributing factors is needed to guide interventions at the local, regional, and national scales.

Variation in emergency department visit rates for opioid use disorder: Implications for quality improvement initiatives.

STUDY OBJECTIVE: Emergency departments (ED) are critical touchpoints for encounters among patients with opioid use disorder (OUD), but implementation of ED initiated treatment and harm reduction programs has lagged. We describe national patient, visit and hospital-level characteristics of ED OUD visits and characterize EDs with high rates of OUD visits in order to inform policies to optimize ED OUD care. METHODS: We conducted a descriptive, cross-sectional study with the 2017 Nationwide Emergency Department Sample (NEDS) from the Healthcare Cost and Utilization Project, using diagnostic and mechanism of injury codes from ICD-10 to identify OUD related visits. NEDS weights were applied to generate national estimates. We evaluated ED visit and clinical characteristics of all OUD encounters. We categorized hospitals into quartiles by rate of visits for OUD per 1000 ED visits and described the visit, clinical, and hospital characteristics across the four quartiles. RESULTS: In 2017, the weighted national estimate for OUD visits was 1,507,550. Overdoses accounted for 295,954. (19.6%) of visits. OUD visit rates were over 8× times higher among EDs in the highest quartile of OUD visit rate (22.9 per 1000 total ED visits) compared with EDs in the lowest quartile of OUD visit rate (2.7 per 1000 ED visits). Over three fifths (64.2%) of all OUD visits nationwide were seen by the hospitals in the highest quartile of OUD visit rate. These hospitals were predominantly in metropolitan areas (86.2%), over half were teaching hospitals (51.7%), and less than a quarter (23.3%) were Level 1 or Level 2 trauma centers. CONCLUSION: Targeting initial efforts of OUD care programs to high OUD visit rate EDs could improve care for a large portion of OUD patients utilizing emergency care.

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.

The Socio-Demographics and Health Service Use of Opioid Overdose Decedents in Wales: A Cross-Sectional Data Linkage Study.

BACKGROUND: Fatal opioid overdose is a significant public health problem with increasing incidence in developed countries. This study aimed to describe demographic and service user characteristics of decedents of opioid overdose in Wales to identify possible targets for behaviour modification and life-saving interventions. METHODS: A retrospective cross-sectional analysis was conducted of a census sample of opioid overdose-related deaths recorded between January 01, 2012, and October 11, 2018, in Wales. UK Office for National Statistics, Welsh Demographic Service, and National Health Service datasets were linked deterministically. Decedents' circumstances of death, demographic characteristics, residency, and health service use were characterized over 3 years prior to fatal overdose using descriptive statistics. RESULTS: In total, 638 people died of opioid overdose in Wales between January 01, 2012, and October 11, 2018, with an incidence rate of 3.04 per 100,000 people per year. Decedents were predominantly male (73%) and middle aged (median age 50 years). Fatal overdoses predominantly occurred in the community (93%) secondary to heroin (30%) or oxycodone derivative use (34%). In the 3 years prior to death, decedents changed address frequently (53%) but rarely moved far geographically. The majority of decedents had recently visited the emergency department (83%) or were admitted to the hospital (64%) prior to death. Only a minority had visited specialist drug services (32%). CONCLUSIONS: Deaths from opioid overdose typically occur in middle-aged men living peripatetic lifestyles. Victims infrequently visit specialist drug services but often attend emergency medical services. Emergency department-based interventions may therefore be important in prevention of opioid overdose fatalities in the community.