Comparison of a national commercial pharmacy naloxone data source to state and city pharmacy naloxone data sources-Rhode Island, Massachusetts, and New York City, 2013-2019

OBJECTIVE

Accurate naloxone distribution data are critical for planning and prevention purposes, yet sources of naloxone dispensing data vary by location, and completeness of local datasets is unknown. We sought to compare available datasets in Massachusetts, Rhode Island, and New York City (NYC) to a commercially available pharmacy national claims dataset (Symphony Health Solutions).

DATA SOURCES AND STUDY SETTING

We utilized retail pharmacy naloxone dispensing data from NYC (2018-2019), Rhode Island (2013-2019), and Massachusetts (2014-2018), and pharmaceutical claims data from Symphony Health Solutions (2013-2019).

STUDY DESIGN

We conducted a descriptive, retrospective, and secondary analysis comparing naloxone dispensing events (NDEs) captured via Symphony to NDEs captured by local datasets from the three jurisdictions between 2013 and 2019, when data were available from both sources, using descriptive statistics, regressions, and heat maps.

DATA COLLECTION/EXTRACTION METHODS

We defined an NDE as a dispensing event documented by the pharmacy and assumed that each dispensing event represented one naloxone kit (i.e., two doses). We extracted NDEs from local datasets and the Symphony claims dataset. The unit of analysis was the ZIP Code annual quarter.

PRINCIPAL FINDINGS

NDEs captured by Symphony exceeded those in local datasets for each time period and location, except in RI following legislation requiring NDEs to be reported to the PDMP. In regression analysis, absolute differences in NDEs between datasets increased substantially over time, except in RI before the PDMP. Heat maps of NDEs by ZIP code quarter showed important variations reflecting where pharmacies may not be reporting NDEs to Symphony or local datasets.

CONCLUSIONS

Policymakers must be able to monitor the quantity and location of NDEs in order to combat the opioid crisis. In regions where NDEs are not required to be reported to PDMPs, proprietary pharmaceutical claims datasets may be useful alternatives, with a need for local expertise to assess dataset-specific variability.

Racial and Ethnic Differences in Receipt of Nonpharmacologic Care for Chronic Low Back Pain Among Medicare Beneficiaries With OUD

Importance

Nonpharmacologic treatments are important for managing chronic pain among persons with opioid use disorder (OUD), for whom opioid and other pharmacologic therapies may be particularly harmful. Racial and ethnic minority individuals with chronic pain and OUD are vulnerable to suboptimal pain management due to systemic inequities and structural racism, highlighting the need to understand their receipt of guideline-recommended nonpharmacologic pain therapies, including physical therapy (PT) and chiropractic care.

Objective

To assess differences across racial and ethnic groups in receipt of PT or chiropractic care for chronic low back pain (CLBP) among persons with comorbid OUD.

Design, Setting, and Participants

This retrospective cohort study used a 20% random sample of national Medicare administrative data from January 1, 2016, to December 31, 2018, to identify fee-for-service community-dwelling beneficiaries with a new episode of CLBP and comorbid OUD. Data were analyzed from March 1, 2022, to July 30, 2023.

Exposures

Race and ethnicity as a social construct, categorized as American Indian or Alaska Native, Asian or Pacific Islander, Black or African American, Hispanic, non-Hispanic White, and unknown or other.

Main Outcomes and Measures

The main outcomes were receipt of PT or chiropractic care within 3 months of CLBP diagnosis. The time (in days) to receiving these treatments was also assessed.

Results

Among 69 362 Medicare beneficiaries analyzed, the median age was 60.0 years (IQR, 51.5-68.7 years) and 42 042 (60.6%) were female. A total of 745 beneficiaries (1.1%) were American Indian or Alaska Native; 444 (0.6%), Asian or Pacific Islander; 9822 (14.2%), Black or African American; 4124 (5.9%), Hispanic; 53 377 (77.0%); non-Hispanic White; and 850 (1.2%), other or unknown race. Of all beneficiaries, 7104 (10.2%) received any PT or chiropractic care 3 months after a new CLBP episode. After adjustment, Black or African American (adjusted odds ratio, 0.46; 95% CI, 0.39-0.55) and Hispanic (adjusted odds ratio, 0.54; 95% CI, 0.43-0.67) persons had lower odds of receiving chiropractic care within 3 months of CLBP diagnosis compared with non-Hispanic White persons. Median time to chiropractic care was longest for American Indian or Alaska Native (median, 8.5 days [IQR, 0-44.0 days]) and Black or African American (median, 7.0 days [IQR, 0-42.0 days]) persons and shortest for Asian or Pacific Islander persons (median, 0 days [IQR, 0-6.0 days]). No significant racial and ethnic differences were observed for PT.

Conclusions and Relevance

In this retrospective cohort study of Medicare beneficiaries with comorbid CLBP and OUD, receipt of PT and chiropractic care was low overall and lower across most racial and ethnic minority groups compared with non-Hispanic White persons. The findings underscore the need to address inequities in guideline-concordant pain management, particularly among Black or African American and Hispanic persons with OUD.

Applications of agent-based modeling in trauma research

OBJECTIVE

Trauma, violence, and their consequences for population health are shaped by complex, intersecting forces across the life span. We aimed to illustrate the strengths of agent-based modeling (ABM), a computational approach in which population-level patterns emerge from the behaviors and interactions of simulated individuals, for advancing trauma research; Method: We provide an overview of agent-based modeling for trauma research, including a discussion of the model development process, ABM as a complement to other causal inference and complex systems approaches in trauma research, and past ABM applications in the trauma literature; Results: We use existing ABM applications to illustrate the strengths of ABM for trauma research, including incorporating interactions between individuals, simulating processes across multiple scales, examining life-course effects, testing alternate theories, comparing intervention strategies in a virtual laboratory, and guiding decision making. We also discuss the challenges of applying ABM to trauma research and offer specific suggestions for incorporating ABM into future studies of trauma and violence; Conclusion: Agent-based modeling is a useful complement to other methodological advances in trauma research. We recommend a more widespread adoption of ABM, particularly for research into patterns and consequences of individual traumatic experiences across the life course and understanding the effects of interventions that may be influenced by social norms and social network structures. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Treatment Patterns and Population Characteristics of Nonpharmacological Management of Chronic Pain in the United States' Medicare Population: A Scoping Review

Background and Objectives

Clinical practice guidelines recommend noninvasive nonpharmacological pain therapies; however, reviews that assess the literature pertaining to nonpharmacological pain management among older adults and people with long-term disabilities who are disproportionately affected by pain are lacking. This scoping review aimed to systematically map and characterize the existing studies about the receipt of noninvasive, nonpharmacological pain therapies by Medicare beneficiaries.

Research Design and Methods

We conducted a literature search in MEDLINE (PubMed), CINAHL (EBSCO), SocINDEX (EBSCO), Cochrane Library, Web of Science citation indices, and various sources of gray literature. The initial search was conducted on November 2, 2021, and updated on March 9, 2022. Two independent reviewers screened titles, abstracts, and full texts for inclusion and extracted the characteristics of the studies, studied populations, and nonpharmacological pain therapies. Data were summarized using tabular and narrative formats.

Results

The final review included 33 studies. Of these, 24 were quantitative, 7 were qualitative, and 2 were mixed-methods studies. Of 32 studies that focused on Medicare beneficiaries, 10 did not specify the Medicare type, and all but one of the remaining studies were restricted to fee-for-service enrollees. Back and neck pain and arthritis were the most commonly studied pain types. Chiropractic care (n = 19) and physical therapy (n = 17) appeared frequently among included studies. The frequency and/or duration of nonpharmacological treatment were mentioned in 13 studies. Trends in the utilization of nonpharmacological pain therapies were assessed in 6 studies but none of these studies went beyond 2008.

Discussion and Implications

This scoping review found that manipulative therapies, mainly chiropractic, have been the most widely studied approaches for nonpharmacological pain management in the Medicare population. The review also identified the need for future research that updates trend data and addresses contemporary issues such as rising Medicare Advantage enrollment and promulgation of practice guidelines for pain management.

Development of a neural network model to predict the presence of fentanyl in community drug samples

INTRODUCTION

Increasingly, Fourier-transform infrared (FTIR) spectroscopy is being used as a harm reduction tool to provide people who use drugs real-time information about the contents of their substances. However, FTIR spectroscopy has been shown to have a high detection limit for fentanyl and interpretation of results by a technician can be subjective. This poses concern, given that some synthetic opioids can produce serious toxicity at sub-detectable levels. The objective of this study was to develop a neural network model to identify fentanyl and related analogues more accurately in drug samples compared to traditional analysis by technicians.

METHODS

Data were drawn from samples analyzed point-of-care using combination FTIR spectroscopy and fentanyl immunoassay strips in British Columbia between August 2018 and January 2021. We developed neural network models to predict the presence of fentanyl based on FTIR data. The final model was validated against the results from immunoassay strips. Prediction performance was assessed using F1 score, accuracy, and area under the receiver-operating characteristic curve (AUROC), and was compared to results obtained from analysis by technicians.

RESULTS

A total of 12,684 samples were included. The neural network model outperformed results from those analyzed by technicians, with an F1 score of 96.4% and an accuracy of 96.4%, compared to 78.4% and 82.4% with a technician, respectively. The AUROC of the model was 99.0%. Fentanyl positive samples correctly detected by the model but not by the technician were typically those with low fentanyl concentrations (median: 2.3% quantity by weight; quartile 1-3: 0.0%-4.6%).

DISCUSSION

Neural network models can accurately predict the presence of fentanyl and related analogues using FTIR data, including samples with low fentanyl concentrations. Integrating this tool within drug checking services utilizing FTIR spectroscopy has the potential to improve decision making to reduce the risk of overdose and other negative health outcomes.

Prevalence of opioid and nonopioid pain management therapies among Medicare beneficiaries with musculoskeletal pain conditions from 2016 to 2019

INTRODUCTION

Pain treatment guidelines prioritize nonopioid therapies over opioid medications to prevent opioid-related harms. We examined trends in receipt and intensity of nonpharmacologic, nonopioid medication, and opioid therapies among Medicare beneficiaries.

METHODS

Using a 20% national random sample of Medicare data from 2016 to 2019, we identified fee-for-service beneficiaries with ≥2 diagnoses of back, neck, fibromyalgia, or osteoarthritis/joint pain annually. We excluded beneficiaries with cancer. We calculated annual proportions of beneficiaries who received physical therapy (PT), chiropractic care, gabapentin, and opioids, overall and in demographic, geographic, and clinical subgroups. We estimated the intensity of therapies using the annual number of visitsor prescription fills, prescription days' supply, and opioid dose.

RESULTS

During 2016-2019, PT receipt increased (22.8% to 25.5%) and the mean number of visits among recipients of PT went from 12 to 13. Chiropractic receipt (~18%) and mean annual visits (~10) remained unchanged. The prevalence of gabapentin receipt was stable at ~22% and the mean annual number of fills was unchanged though gabapentin days increased slightly. Opioid prescribing decreased (56.7% to 46.5%) and reductions in opioid dose and duration were observed. Opioid receipt was high among beneficiaries who were under 65 years, American Indian/Alaska Native, Black/African American, or had opioid use disorder (OUD), in whom nonpharmacologic therapies were also received the least.

CONCLUSION

Utilization of nonopioid therapies lagged opioids among Medicare beneficiaries with musculoskeletal pain, with limited changes from 2016 to 2019. As opioid prescribing declines and alternative pain therapy receipt remains low, there are potential increasing risks of pain going untreated or undertreated and individuals seeking illicit opioids to alleviate their pain.

Neighborhood-level association between release from incarceration and fatal overdose, Rhode Island, 2016-2020

The association between recent release from incarceration and dramatically increased risk of fatal overdose is well-established at the individual level. Fatal overdose and. arrest/release are spatially clustered, suggesting that this association may persist at the neighborhood level. We analyzed multicomponent data from Rhode Island, 2016-2020, and observed a modest association at the census tract level between rates of release per 1000 population and fatal overdose per 100,000 person-years, adjusting for spatial autocorrelation in both the exposure and outcome. Our results suggest that for each additional person released to a given census tract per 1000 population, there is a corresponding increase in the rate of fatal overdose by 2 per 100,000 person years. This association is more pronounced in suburban tracts, where each additional release awaiting trial is associated with an increase in the rate of fatal overdose of 4 per 100,000 person-years and 6 per 100,000 person-years for each additional release following sentence expiration. This association is not modified by the presence or absence of a licensed medication for opioid use disorder (MOUD) treatment provider in the same or surrounding tracts. Our results suggest that neighborhood-level release rates are moderately informative as to tract-level rates of fatal overdose and underscore the importance of expanding pre-release MOUD access in correctional settings. Future research should explore risk and resource environments particularly in suburban and rural areas and their impacts on overdose risk among individuals returning to the community.

A Systematic Review of Systems Science Approaches to Understand and Address Domestic and Gender-Based Violence

Purpose

We aimed to synthesize insights from systems science approaches applied to domestic and gender-based violence.

Methods

We conducted a systematic review of systems science studies (systems thinking, group model-building, agent-based modeling [ABM], system dynamics [SD] modeling, social network analysis [SNA], and network analysis [NA]) applied to domestic or gender-based violence, including victimization, perpetration, prevention, and community responses. We used blinded review to identify papers meeting our inclusion criteria (i.e., peer-reviewed journal article or published book chapter that described a systems science approach to domestic or gender-based violence, broadly defined) and assessed the quality and transparency of each study.

Results

Our search yielded 1,841 studies, and 74 studies met our inclusion criteria (45 SNA, 12 NA, 8 ABM, and 3 SD). Although research aims varied across study types, the included studies highlighted social network influences on risks for domestic violence, clustering of risk factors and violence experiences, and potential targets for intervention. We assessed the quality of the included studies as moderate, though only a minority adhered to best practices in model development and dissemination, including stakeholder engagement and sharing of model code.

Conclusions

Systems science approaches for the study of domestic and gender-based violence have shed light on the complex processes that characterize domestic violence and its broader context. Future research in this area should include greater dialogue between different types of systems science approaches, consideration of peer and family influences in the same models, and expanded use of best practices, including continued engagement of community stakeholders.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10896-023-00578-8.

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.

Invited Commentary: On the Mathematization of Epidemiology as a Socially Engaged Quantitative Science

Ensuring that patients with opioid use disorder (OUD) have access to optimal medication therapies is a critical challenge in substance use epidemiology. Rudolph et al. (Am J Epidemiol. 2023;XXX(X):XXXX-XXXX) demonstrated that sophisticated data-adaptive statistical techniques can be used to learn optimal, individualized treatment rules that can aid providers in choosing a medication treatment modality for a particular patient with OUD. This important work also highlights the effects of the mathematization of epidemiologic research. Here, we define mathematization and demonstrate how it operates in the context of effectiveness research on medications for OUD using the paper by Rudolph et al. as a springboard. In particular, we address the normative dimension of mathematization and how it tends to resolve a fundamental tension in epidemiologic practice between technical sophistication and public health considerations in favor of more technical solutions. The process of mathematization is a fundamental part of epidemiology; we argue not for eliminating it but for balancing mathematization and technical demands equally with practical and community-centric public health needs.

Psychiatric and Substance-Related Problems Predict Recidivism for First-Time Justice-Involved Youth

Justice-involved youth with clinically significant co-occurring psychiatric and substance-related problems are at increased risk for recidivism. Less is known about how psychiatric symptoms (i.e., internalizing and externalizing) and substance-related problems (i.e., alcohol and cannabis) interact to predict recidivism, especially at first court contact. Among 361 first-time justice-involved youth aged 12 to 18, we used nested multivariate negative binomial regression models to examine the association between psychiatric symptoms, substance-related problems and 24-month recidivism while accounting for demographic and legal covariates. Clinically significant externalizing symptoms and alcohol-related problems predicted recidivism. Moderation analyses revealed that alcohol-related problems drove recidivism for youth without clinically significant psychiatric symptoms and externalizing symptoms predicted recidivism, regardless of alcohol-related problems. After accounting for other predictors, Latinx, Black non-Latinx, and multiracial non-Latinx youth were more likely to recidivate at follow-up than White non-Latinx youth. Systematic screening, referral, and linkage to treatment for psychiatric and substance-related problems are needed to reduce recidivism risk among first-time justice-involved youth. Differences in recidivism rates by race/ethnicity not attributable to behavioral health needs suggest it is imperative to concurrently deploy large-scale structural interventions designed to combat systemic racial bias and overrepresentation of ethnoracial minoritized youth within the juvenile justice system.

Multi-level influences on increased overdose risk behaviors during the COVID-19 pandemic among people who use drugs in Rhode Island: a qualitative investigation

BACKGROUND

The ongoing COVID-19 pandemic has disproportionately affected structurally vulnerable populations including people who use drugs (PWUD). Increased overdose risk behaviors among PWUD during the pandemic have been documented, with research underscoring the role of influencing factors such as isolation and job loss in these behaviors. Here, we use qualitative methods to examine the impact of the COVID-19 pandemic and pandemic-related response measures on drug use behaviors in a sample of PWUD in Rhode Island. Using a social-ecological framework, we highlight the nested, interactive levels of the pandemic's influence on increased overdose risk behaviors.

METHODS

From July to October 2021, semi-structured interviews were conducted with 18 PWUD who self-reported any increase in behaviors associated with overdose risk (e.g., increased use, change in drug type and/or more solitary drug use) relative to before the pandemic. Thematic analysis was conducted using a codebook with salient themes identified from interview guides and those that emerged through close reading of transcribed interviews. Guided by a social-ecological framework, themes were grouped into individual, network, institutional, and policy-level influences of the pandemic on drug use behaviors.

RESULTS

Individual-level influences on increased overdose risk behaviors included self-reported anxiety and depression, isolation and loneliness, and boredom. Network-level influences included changes in local drug supply and changes in social network composition specific to housing. At the institutional level, drug use patterns were influenced by reduced access to harm reduction or treatment services. At the policy level, increased overdose risk behaviors were related to financial changes, job loss, and business closures. All participants identified factors influencing overdose risk behaviors that corresponded to several nested social-ecological levels.

CONCLUSIONS

Participants identified multi-level influences of the COVID-19 pandemic and pandemic-related response measures on their drug use behavior patterns and overdose risk. These findings suggest that effective harm reduction during large-scale crises, such as the COVID-19 pandemic, must address several levels of influence concurrently.

Cessation of self-reported opioid use and impacts on co-occurring health conditions

BACKGROUND

Among veterans in care reporting opioid use, we investigated the association between ceasing opioid use on subsequent reduction in report of other substance use and improvements in pain, anxiety, and depression.

METHODS

Using Veterans Aging Cohort Study survey data collected between 2003 and 2012, we emulated a hypothetical randomized trial (target trial) of ceasing self-reported use of prescription opioids and/or heroin, and outcomes including unhealthy alcohol use, smoking, cannabis use, cocaine use, pain, and anxiety and depressive symptoms. Among those with baseline opioid use, we compared participants who stopped reporting opioid use at the first follow-up (approximately 1 year after baseline) with those who did not. We fit logistic regression models to estimate associations with change in each outcome at the second follow-up (approximately 2 years after baseline) among participants with that condition at baseline. We examined two sets of adjusted models that varied temporality assumptions.

RESULTS

Among 2473 participants reporting opioid use, 872 did not report use, 606 reported use, and 995 were missing data on use at the first follow-up. Ceasing opioid use was associated with no longer reporting cannabis (adjusted odds ratio [AOR]=1.82, 95% confidence interval [CI] 1.10, 3.03) and cocaine use (AOR=1.93, 95% CI 1.16, 3.20), and improvements in pain (AOR=1.53, 95% CI 1.05, 2.24) and anxiety (AOR=1.56, 95% CI 1.01, 2.41) symptoms.

CONCLUSION

Cessation of opioid misuse may be associated with subsequent cessation of other substances and reduction in pain and anxiety symptoms, which supports efforts to screen and provide evidence-based intervention where appropriate.

Evaluating equity in community-based naloxone access among racial/ethnic groups in Massachusetts

BACKGROUND

Racial/ethnic minorities have experienced disproportionate opioid-related overdose death rates in recent years. In this context, we examined inequities in community-based naloxone access across racial/ethnic groups in Massachusetts.

METHODS

We used data from: the Massachusetts Department of Public Health on community-based overdose education and naloxone distribution (OEND) programs; the Massachusetts Office of the Chief Medical Examiner on opioid-related overdose deaths, and; the United States Census American Community Survey for regional demographic/socioeconomic details to estimate community populations by race/ethnicity and racial segregation between African American/Black and white residents. Race/ethnicity groups included in the analysis were African American/Black (non-Hispanic), Hispanic, white (non-Hispanic), and "other" (non-Hispanic). We evaluated racial/ethnic differences in naloxone distribution across regions in Massachusetts and neighborhoods in Boston descriptively and spatially, plotting the race/ethnicity-specific number of kits per opioid-related overdose death per jurisdiction. Lastly, we constructed generalized estimating equations models with a negative binomial distribution to compare the race/ethnicity-specific naloxone distribution rate by OEND programs.

RESULTS

From 2016-2019, the median annual rate of naloxone kits received from OEND programs in Massachusetts per racial/ethnicity group ranged between 160 and 447 per 100,000. In a multivariable analysis, we found that the naloxone distribution rates for racial/ethnic minorities were lower than the rate for white residents. We also found naloxone was more likely to be distributed in racially segregated communities than non-segregated communities.

CONCLUSION

We identified racial/ethnic inequities in naloxone receipt by individuals in Massachusetts. Additional resources focused on designing and implementing OEND programs for racial/ethnic minorities are warranted to ensure equitable access to naloxone.

Comparing Projected Fatal Overdose Outcomes and Costs of Strategies to Expand Community-Based Distribution of Naloxone in Rhode Island

Importance

In 2021, the state of Rhode Island distributed 10 000 additional naloxone kits compared with the prior year through partnerships with community-based organizations.

Objective

To compare various strategies to increase naloxone distribution through community-based programs in Rhode Island to identify one most effective and efficient strategy in preventing opioid overdose deaths (OODs).

Design, Setting, and Participants

In this decision analytical model study conducted from January 2016 to December 2022, a spatial microsimulation model with an integrated decision tree was developed and calibrated to compare the outcomes of alternative strategies for distributing 10 000 additional naloxone kits annually among all individuals at risk for opioid overdose in Rhode Island.

Interventions

Distribution of 10 000 additional naloxone kits annually, focusing on people who inject drugs, people who use illicit opioids and stimulants, individuals at various levels of risk for opioid overdose, or people who misuse prescription opioids vs no additional kits (status quo). Two expanded distribution implementation approaches were considered: one consistent with the current spatial distribution patterns for each distribution program type (supply-based approach) and one consistent with the current spatial distribution of individuals in each of the risk groups, assuming that programs could direct the additional kits to new geographic areas if required (demand-based approach).

Main Outcomes and Measures

Witnessed OODs, cost per OOD averted (efficiency), geospatial health inequality measured by the Theil index, and between-group variance for OOD rates.

Results

A total of 63 131 simulated individuals were estimated to be at risk for opioid overdose in Rhode Island based on current population data. With the supply-based approach, prioritizing additional naloxone kits to people who use illicit drugs averted more witnessed OODs by an estimated mean of 18.9% (95% simulation interval [SI], 13.1%-30.7%) annually. Expanded naloxone distribution using the demand-based approach and focusing on people who inject drugs had the best outcomes across all scenarios, averting an estimated mean of 25.3% (95% SI, 13.1%-37.6%) of witnessed OODs annually, at the lowest mean incremental cost of $27 312 per OOD averted. Other strategies were associated with fewer OODs averted at higher costs but showed similar patterns of improved outcomes and lower unit costs if kits could be reallocated to areas with greater need. The demand-based approach reduced geospatial inequality in OOD rates in all scenarios compared with the supply-based approach and status quo.

Conclusions and Relevance

In this decision analytical model study, variations in the effectiveness, efficiency, and health inequality of the different naloxone distribution expansion strategies and approaches were identified. Future efforts should be prioritized for people at highest risk for overdose (those who inject drugs or use illicit drugs) and redirected toward areas with the greatest need. These findings may inform future naloxone distribution priority settings.

Characteristics of events in which police responded to overdoses: an examination of incident reports in Rhode Island

Background

Narrow or non-existent Good Samaritan Law protections and harsh drug selling statutes in the USA have been shown to deter bystanders from seeking medical assistance for overdoses. Additionally, little is known about the actions that police take when responding to overdose events. The objectives of this study were to assess the prevalence and correlates of naloxone administration by police, as well as to examine overdose events where arrests were made and those in which the person who overdosed was described as combative.

Methods

We analyzed incident reports of police responding to an overdose between September 1, 2019, and August 31, 2020 (i.e., 6 months prior to and during the COVID-19 pandemic), from a city in Rhode Island. We examined characteristics of incidents, as well as individual characteristics of the person who overdosed. Correlates of police naloxone administration were assessed using Wilcoxon rank sum tests and Fisher’s exact tests, and we examined incidents where arrests occurred and incidents in which the person who overdosed was described as combative descriptively.

Results

Among the 211 incidents in which police responded to an overdose during the study period, we found that police administered naloxone in approximately 10% of incidents. In most incidents, police were the last group of first responders to arrive on scene (59%), and most often, naloxone was administered by others (65%). Police were significantly more likely to administer naloxone when they were the first professionals to arrive, when naloxone had not been administered by others, and when the overdose occurred in public or in a vehicle. Arrests at overdose events were rarely reported (1%), and people who overdosed were rarely (1%) documented in incident reports as being ‘combative.’

Conclusions

Considering these findings, ideally, all jurisdictions should have sufficient first responder staffing and resources to ensure a rapid response to overdose events, with police rarely or never dispatched to respond to overdoses. However, until this ideal can be achieved, any available responders should be dispatched concurrently, with police instructed to resume patrol once other professional responders arrive on scene; additionally, warrant searches of persons on scene should be prohibited.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12954-022-00698-2.

The estimated costs and benefits of a hypothetical supervised consumption site in Providence, Rhode Island

BACKGROUND

Overdose deaths have increased dramatically in the United States, including in Rhode Island. In July 2021, the Rhode Island government passed legislation supporting a two-year pilot program authorizing supervised consumption sites (SCSs) in response to this crisis. We estimated the costs and benefits of a hypothetical SCS in Providence, Rhode Island.

METHODS

We utilized a decision analytic mathematical model to compare costs and outcomes for people who inject drugs under two scenarios: (1) a SCS that includes syringe services provision, and (2) a syringe service program only (i.e., status quo). We assumed 0.95% of injections result in overdose, the SCS would serve 400 clients monthly and have a net cost of $783,899 annually, 46% of overdoses occurring outside of the SCS result in an ambulance run and 43% result in an emergency department (ED) visit, 0.79% of overdoses occurring within the SCS result in an ambulance run and ED visit, and the SCS would lead to a 25.7% reduction in fatal overdoses near the site. The model was developed from a modified societal perspective with a one-year time horizon.

RESULTS

A hypothetical SCS in Providence would prevent approximately 2 overdose deaths, 261 ambulance runs, 244 ED visits, and 117 inpatient hospitalizations for emergency overdose care annually compared to a scenario that includes a syringe service program only. The SCS would save $1,104,454 annually compared to the syringe service program only, accounting only for facility costs and short-term costs of emergency overdose care and ignoring savings associated with averted deaths. Influential parameters included the percentage of injections resulting in overdose, the total annual injections at the SCS, and the percentage of overdoses outside of the SCS that result in an ED visit.

CONCLUSION

A SCS in would result in substantial cost savings due to prevention of costly emergency overdose care.

Crack cocaine use frequency is associated with HIV disease severity independent of antiretroviral therapy exposure: a prospective cohort study

We sought to evaluate the effect of crack cocaine use frequency on HIV disease severity among HIV-positive people who use unregulated drugs (PWUD). We analyzed data from the ACCESS study, an open prospective cohort of HIV-positive PWUD including comprehensive HIV clinical monitoring in a setting with no-cost healthcare. Multivariable generalized linear mixed-effects models were used to estimate the independent effect of time-updated crack cocaine use frequency on HIV disease severity, adjusting for ART exposure and relevant confounders. In multivariable adjusted models, daily or greater frequency of crack cocaine use was significantly associated with higher VACS Index scores (β = 0.8, 95% confidence interval: 0.1, 1.5) as compared to none. Our finding suggests that daily or greater frequency of crack cocaine use exacerbates HIV disease severity independent of ART exposure. The observed effect may reflect an underlying biological mechanism or other factors linked with crack cocaine use; further investigation is warranted.

Drug use behaviors, trauma, and emotional affect following the overdose of a social network member: A qualitative investigation

BACKGROUND

Scant research has examined the influence of overdoses occurring in social networks (i.e., knowing someone who has overdosed) on individual overdose risk. We sought to characterize drug use behaviors of individuals following the overdose of someone in their social network.

METHODS

We conducted semi-structured interviews with 25 people who use drugs and knew someone who overdosed in the prior 90 days. All interviews were conducted in person in Rhode Island from July to October 2021. Data were stratified by drug use behaviors following the overdose of a network member (i.e., risk behaviors, protective behaviors, no change; selected a priori) and analyzed using a thematic analysis variation to identify salient themes.

RESULTS

We identified variation in the effect of knowing someone who overdosed on subsequent drug use behaviors and emotional affect. Several participants described increasing their drug use or using more types of drugs than usual to manage feelings of bereavement and trauma, and a subset of these participants described increased drug use with suicidal intention and increased suicidal ideations following the overdose event. Other participants described reducing their drug use and engaging in protective behaviors in response to heightened perceived overdose risk, protection motivation (i.e., increased motivation to protect oneself), and concern for others. Additionally, some participants reported no change in drug use behaviors, and these participants described already engaging in harm reduction practices, feeling desensitized due to frequent or repeated exposure to overdose, and ambivalence about living.

CONCLUSIONS

Findings suggest a need for enhanced investment in network-based overdose prevention interventions, as well as more robust integration of bereavement support and mental health services in settings that serve people who use drugs. The findings also suggest a need for future research to identify mediators of the effect of overdose occurring in social networks on individual overdose risk.

Effect of a Peer-Led Behavioral Intervention for Emergency Department Patients at High Risk of Fatal Opioid Overdose: A Randomized Clinical Trial

IMPORTANCE

Fatal and nonfatal opioid overdoses are at record levels, and emergency department (ED) visits may be an opportune time to intervene. Peer-led models of care are increasingly common; however, little is known about their effectiveness.

OBJECTIVE

To evaluate the effect of a peer-led behavioral intervention compared with the standard behavioral intervention delivered in the ED on engagement in substance use disorder (SUD) treatment within 30 days after the ED encounter.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial recruited 648 patients from 2 EDs from November 15, 2018, to May 31, 2021. Patients were eligible to participate if they were in the ED for an opioid overdose, receiving treatment related to an opioid use disorder, or identified as having had a recent opioid overdose.

INTERVENTIONS

Participants were randomly assigned to receive a behavioral intervention from a certified peer recovery specialist (n = 323) or a standard intervention delivered by a hospital-employed licensed clinical social worker (n = 325). A certified peer recovery specialist was someone with at least 2 years of recovery who completed a 45-hour training program and had 500 hours of supervised work experience. After the ED intervention, the certified peer recovery specialists offered continued contact with participants for up to 90 days.

MAIN OUTCOMES AND MEASURES

The primary outcome was receipt of SUD treatment within 30 days of enrollment, assessed with deterministic linkage of statewide administrative databases. Treatment engagement was defined as admission to a formal, publicly licensed SUD treatment program or receipt of office-based medication for opioid use disorder within 30 days of the initial ED visit.

RESULTS

Among the 648 participants, the mean (SD) age was 36.9 (10.8) years, and most were male (442 [68.2%]) and White (444 [68.5%]). Receipt of SUD treatment occurred for 103 of 323 participants (32%) in the intervention group vs 98 of 325 participants (30%) in the usual care group within 30 days of the ED visit. Among all participants, the most accessed treatments were outpatient medication for opioid use disorder (buprenorphine, 119 [18.4%]; methadone, 44 [6.8%]) and residential treatment (44 [6.8%]).

CONCLUSIONS AND RELEVANCE

Overall, this study found that a substantial proportion of participants in both groups engaged in SUD treatment within 30 days of the ED visit. An ED-based behavioral intervention is likely effective in promoting treatment engagement, but who delivers the intervention may be less influential on short-term outcomes. Further study is required to determine the effects on longer-term engagement in SUD care and other health outcomes (eg, recurrent overdose).

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03684681.

Divergence Between Individual- and Neighborhood-Level Fatal Overdose Burden: A Population-Based Statewide Study

OBJECTIVES

To compare the characteristics of individual overdose decedents in Rhode Island, 2016-2020 to the neighborhoods where fatal overdoses occurred over the same time period.

METHODS

We conducted a retrospective analysis of fatal overdoses occurring between January 1, 2016 and June 30, 2020. Using individual- and neighborhood-level data, we conducted descriptive analyses to explore the characteristics of individuals and neighborhoods most affected by overdose.

RESULTS

Most overdose decedents during the study period were non-Hispanic White. Across increasingly more White and non-Hispanic neighborhoods, rates of fatal overdose per 100,000 person-years decreased. An opposite pattern was observed across quintiles of average neighborhood poverty.

CONCLUSIONS

Rates of fatal overdose were higher in less White, more Hispanic, and poorer neighborhoods, suggesting modest divergence between the characteristics of individuals and the neighborhoods most severely affected. These impacts may not be uniform across space and may accrue differentially to more disadvantaged and racially/ethnically diverse neighborhoods.

Projected Effects of Disruptions to Human Immunodeficiency Virus (HIV) Prevention Services During the Coronavirus Disease 2019 Pandemic Among Black/African American Men Who Have Sex With Men in an Ending the HIV Epidemic Priority Jurisdiction

Background

Disruptions in access to in-person human immunodeficiency virus (HIV) preventive care during the coronavirus disease 2019 (COVID-19) pandemic may have a negative impact on our progress towards the Ending the HIV Epidemic goals in the United States.

Methods

We used an agent-based model to simulate HIV transmission among Black/African American men who have sex with men in Mississippi over 5 years to estimate how different reductions in access affected the number of undiagnosed HIV cases, new pre-exposure prophylaxis (PrEP) starts, and HIV incidence.

Results

We found that each additional 25% decrease in HIV testing and PrEP initiation was associated with decrease of 20% in the number of cases diagnosed and 23% in the number of new PrEP starts, leading to a 15% increase in HIV incidence from 2020 to 2022.

Conclusions

Unmet need for HIV testing and PrEP prescriptions during the COVID-19 pandemic may temporarily increase HIV incidence in the years immediately after the disruption period.

Periods of Homelessness Linked to Higher VACS Index Among HIV-Positive People Who Use Drugs

We sought to evaluate the impact of homelessness on HIV disease progression among people who use unregulated drugs (PWUD) living with HIV and test if this association was mediated by adherence to antiretroviral therapy (ART). We applied general linear mixed-effects modeling to estimate the longitudinal relationship between homelessness and the Veterans Aging Cohort Study (VACS) Index, a validated measure of HIV disease progression that predicts all-cause mortality, among a prospective cohort of PWUD. In a longitudinal model adjusted for ART adherence, homelessness was significantly associated with increased VACS Index scores and 16% of the association was mediated by ART adherence. These findings indicate that homelessness was a significant risk factor for HIV disease progression and this association was marginally mediated by ART adherence. Future studies are needed to quantify the other mechanisms (e.g., food insecurity, mental health) by which homelessness increases mortality risk among PWUD living with HIV.

Patient-Reported Bothersome Symptoms Attributed to Alcohol Use Among People With and Without HIV

Helping people with HIV (PWH) and without HIV (PWoH) understand the relationship between physical symptoms and alcohol use might help motivate them to decrease use. In surveys collected in the Veterans Aging Cohort Study from 2002 to 2018, PWH and PWoH were asked about 20 common symptoms and whether they thought any were caused by alcohol use. Analyses were restricted to current alcohol users (AUDIT-C > 0). We applied generalized estimating equations. The outcome was having any Symptoms Attributed to Alcohol use (SxAA). Primary independent variables were each of the 20 symptoms and HIV status. Compared to PWoH, PWH had increased odds of SxAA (OR 1.54; 95% CI 1.27, 1.88). Increased AUDIT-C score was also associated with SxAA (OR 1.32; 95% CI 1.28, 1.36), as were trouble remembering, anxiety, and weight loss/wasting. Evidence that specific symptoms are attributed to alcohol use may help motive people with and without HIV decrease their alcohol use.