Associations Between Reductions in Depressive Symptoms and Reductions in Pain and Anxiety Symptoms and Substance Use: Emulation of a Randomized Trial

Introduction

Depressive symptoms are linked with pain, anxiety, and substance use. Research estimating whether a reduction in depressive symptoms is linked to subsequent reductions in pain and anxiety symptoms and substance use is limited.

Methods

Using data from the Veterans Aging Cohort Study, a multisite observational study of U.S. veterans, the authors used a target trial emulation framework to compare individuals with elevated depressive symptoms (Patient Health Questionnaire-9 score ≥ 10) who experienced reductions in depressive symptoms (Patient Health Questionnaire-9 score < 10) with those whose symptoms persisted (Patient Health Questionnaire-9 score ≥ 10) at the next follow-up visit (on average, 1 year later). Using inverse probability of treatment weighting, the authors estimated ORs and 95% CIs for associations between depressive symptom reduction status and improvement on the following: anxiety symptoms, pain symptoms, unhealthy alcohol use, and use of tobacco, cannabis, cocaine, and/or illicit opioids.

Results

Reductions in depressive symptoms were associated with reductions in pain symptoms (OR=1.43, 95% CI=1.01, 2.02), anxiety symptoms (OR=2.50, 95% CI=1.63, 3.83), and illicit opioid use (OR=2.07, 95% CI=1.13, 3.81). Depressive symptom reductions were not associated with reductions in unhealthy alcohol use (OR=0.85, 95% CI=0.48, 1.52) or use of tobacco (OR=1.49, 95% CI=0.89, 2.48), cannabis (OR=1.07, 95% CI=0.63, 1.83), or cocaine (OR=1.28, 95% CI=0.73, 2.24).

Conclusions

Reducing depressive symptoms may potentially reduce pain and anxiety symptoms and illicit opioid use. Future work should determine whether reductions achieved through antidepressant medications, behavioral therapy, or other means have comparable impact.

Correlates of fentanyl preference among people who use drugs in Rhode Island

BACKGROUND

Fentanyl is increasingly pervasive in the unregulated drug supply and is a driver of drug overdose deaths in the United States. The aims of this study were to characterize and identify correlates of fentanyl preference among people who use drugs (PWUD) in Rhode Island (RI).

METHODS

Using bivariate analysis, we examined associations between fentanyl preference and sociodemographic and psychosocial characteristics at baseline among participants enrolled in the RI Prescription Drug and Illicit Drug Study from August 2020-February 2023. Fentanyl preference was operationalized based on responses to a five-point Likert scale: "I prefer using fentanyl or drugs that have fentanyl in them." Participants who responded that they "strongly disagree," "disagree," or were "neutral" with respect to this statement were classified as not preferring fentanyl, whereas participants who responded that they "agree" or "strongly agree" were classified as preferring fentanyl.

RESULTS

Among 506 PWUD eligible for inclusion in this analysis, 15% expressed a preference for fentanyl or drugs containing fentanyl as their drug of choice. In bivariate analyses, preference for fentanyl was positively associated with younger age, white race, lifetime history of overdose, history of injection drug use, past month enrollment in a substance use treatment program, past month treatment with medications for opioid use disorder, and preferences for heroin and crystal methamphetamine (all p < 0.05). Descriptive data yielded further insight into reasons for fentanyl preference, the predominant having to do with perceived effects of the drug and desire to avoid withdrawal symptoms.

CONCLUSIONS

Only a relatively small subset of study participants preferred drugs containing fentanyl. Given the increased prevalence of fentanyl contamination across substances within the unregulated drug market, the result for PWUD is increasingly less agency with respect to choice of drug; for example, people may be forced to use fentanyl due to restricted supply and the need to mitigate withdrawal symptoms, or may be using fentanyl without intending to do so. Novel and more effective interventions for PWUD, including increased access to age-appropriate harm reduction programs such as fentanyl test strips and overdose prevention centers, are needed to mitigate fentanyl-related harms.

Pain, Substance Use Disorders, Mental Health, and Buprenorphine Treatment among Patients With and Without HIV

Treatment of opioid use disorder (OUD) with buprenorphine improves outcomes and mortality among people with HIV (PWH). However, engagement is low and is influenced by comorbidities. We examined the impact of patterns of co-occurring pain, substance use disorders (SUDs), and mental health diagnoses on buprenorphine initiation and retention in PWH. The Veterans Aging Cohort Study contained 7,875 patients (2,702 PWH and 5,173 without HIV) with new OUD clinical encounters (2008-2017). Buprenorphine initiation and retention were derived from prescription data. We identified patterns of co-occurring diagnoses (via ICD codes) and assessed the effects of class membership on both outcomes using latent class analysis and regression analyses. The mean age of patients was 55, 98% were male, 58% Black, 8% Hispanic, and only 8% initiated buprenorphine within 12 months of OUD diagnosis. Four classes of co-occurring diagnoses were identified: "Few Co-occurring Diagnoses" (42.3%); "Multiple Pain Conditions" (21.3%); "Pain + SUD" (18.4%) and "Pain + SUD + Mental Health" (18.0%). Patients in the "Pain + SUD" class and "Pain + SUD + Mental Health" class were significantly less likely to initiate buprenorphine and had 59% and 45% lower odds, respectively, of initiating buprenorphine compared with patients in the "Few Co-occurring Diagnoses" class; this effect did not vary by HIV status. Buprenorphine retention was not significantly associated with HIV status or class membership. However, Black Veterans were less likely to initiate or be retained in buprenorphine treatment. Higher comorbidity burden was negatively associated with buprenorphine initiation but not with retention. More research is warranted to determine other factors that may influence treatment retention.

Perspectives on a peer-driven intervention to promote pre-exposure prophylaxis (PrEP) uptake among men who have sex with men in southern New England: a qualitative study

BACKGROUND

Pre-exposure prophylaxis (PrEP) is a highly effective pharmaceutical intervention that prevents HIV infection, but PrEP uptake across the US has been slow among men who have sex with men (MSM), especially among Black/African American (B/AA) and Hispanic /Latino (H/L) MSM. This study investigates the acceptability and essential components of a peer-driven intervention (PDI) for promoting PrEP uptake among MSM, with a specific focus on B/AA and H/L communities.

METHODS

We conducted 28 semi-structured, qualitative interviews with MSM in southern New England to explore the components of a PDI, including attitudes, content, and effective communication methods. A purposive sampling strategy was used to recruit diverse participants who reflect the communities with the highest burden of HIV infection.

RESULTS

Of 28 study participants, the median age was 28 years (interquartile range [IQR]: 25, 35). The sample comprised B/AA (39%, n = 11) and H/L (50%, n = 14) individuals. Notably, nearly half of the participants (46%) were current PrEP users. We found that many participants were in favor of using a PDI approach for promoting PrEP. Additionally, several participants showed interest in becoming peer educators themselves. They emphasized the need for strong communication skills to effectively teach others about PrEP. Moreover, participants noted that peer education should cover key topics like how PrEP works, how effective it is, and any possible side effects.

CONCLUSIONS

Our study shows that effective PDIs, facilitated by well-trained peers knowledgeable about PrEP, could enhance PrEP uptake among MSM, addressing health disparities and potentially reducing HIV transmission in B/AA and H/L communities.

Medicaid Expansion and Mortality Among Persons Who Were Formerly Incarcerated

Importance

Since 2014, Medicaid expansion has been implemented in many states across the US, increasing health care access among vulnerable populations, including formerly incarcerated people who experience higher mortality rates than the general population.

Objective

To examine population-level association of Medicaid expansion with postrelease mortality from all causes, unintentional drug overdoses, opioid overdoses, polydrug overdoses, suicides, and homicides among formerly incarcerated people in Rhode Island (RI), which expanded Medicaid, compared with North Carolina (NC), which did not expand Medicaid during the study period.

Design, Setting, and Participants

A cohort study was conducted using incarceration release data from January 1, 2009, to December 31, 2018, linked to death records from January 1, 2009, to December 31, 2019, on individuals released from incarceration in RI and NC. Data analysis was performed from August 20, 2022, to February 15, 2024. Participants included those aged 18 years or older who were released from incarceration. Individuals who were temporarily held during ongoing judicial proceedings, died during incarceration, or not released from incarceration during the study period were excluded.

Exposure

Full Medicaid expansion in RI effective January 1, 2014.

Main Outcomes and Measures

Mortality from all causes, unintentional drug overdoses, unintentional opioid and polydrug overdoses, suicides, and homicides.

Results

Between 2009 and 2018, 17 824 individuals were released from RI prisons (mean [SD] age, 38.39 [10.85] years; 31 512 [89.1%] male) and 160 861 were released from NC prisons (mean [SD] age, 38.28 [10.84] years; 209 021 [87.5%] male). Compared with NC, people who were formerly incarcerated in RI experienced a sustained decrease of 72 per 100 000 person-years (95% CI, -108 to -36 per 100 000 person-years) in all-cause mortality per quarter after Medicaid expansion. Similar decreases were observed in RI in drug overdose deaths (-172 per 100 000 person-years per 6 months; 95% CI, -226 to -117 per 100 000 person-years), including opioid and polydrug overdoses, and homicide deaths (-23 per 100 000 person-years per year; 95% CI, -50 to 4 per 100 000 person-years) after Medicaid expansion. Suicide mortality did not change after Medicaid expansion. After Medicaid expansion in RI, non-Hispanic White individuals experienced 3 times greater sustained decreases in all-cause mortality than all racially minoritized individuals combined, while non-Hispanic Black individuals did not experience any substantial benefits. There was no modification by sex. Individuals aged 30 years or older experienced greater all-cause mortality reduction after Medicaid expansion than those younger than 30 years.

Conclusions and Relevance

Medicaid expansion in RI was associated with a decrease in all-cause, overdose, and homicide mortality among formerly incarcerated people. However, these decreases were most observed among White individuals, while racially minoritized individuals received little to no benefits in the studied outcomes.

Differences by race and ethnicity in drug use patterns, harm reduction practices and barriers to treatment among people who use drugs in Rhode Island

Background: As in much of the United States, there have been significant increases in overdose deaths among non-Hispanic Black and Hispanic/Latinx populations in Rhode Island over the past decade. Given the shifting dynamics of the overdose epidemic, there is an urgent need for focused interventions that address the specific needs of diverse communities. This study explores differences in drug use patterns, harm reduction behaviors and types and barriers to treatment by race and ethnicity. Methods: This study utilized baseline data from the Rhode Island Prescription and Illicit Drug Study (RAPIDS). We assessed sociodemographic characteristics, drug use patterns, harm reduction practices, treatment type, and barriers to treatment in a cross-sectional analysis of people who use drugs (PWUD), stratified by race and ethnicity (non-Hispanic white, non-Hispanic Black, non-Hispanic other race, and Hispanic). Chi-square tests of independence and ANOVA tests were used to identify statistically significant differences by race and ethnicity. Results: Among 509 participants, the median age was 43, and the majority were men (64%). Non-Hispanic Black participants reported significantly less regular use of unregulated opioids, such as heroin (10%) and fentanyl (12%), as compared to non-Hispanic white participants (39% and 33%, respectively). Non-Hispanic Black participants reported significantly less experience responding to overdoses: only 39% had ever administered naloxone and 34% had ever performed rescue breathing, as compared to 67% and 57% among non-Hispanic white participants, respectively. Despite significant differences in drug use patterns, there were few differences in harm reduction practices by race and ethnicity. Current treatment enrollment was highest among those who were non-Hispanic white (38%) and lowest among those who were non-Hispanic Black (7%). Conclusions: These findings suggest that there are differences in overdose response experience and treatment exposure between non-Hispanic Black PWUD and those belonging to other racial and ethnic groups, indicating a need for enhanced investment in overdose response education, naloxone distribution and treatment access for non-Hispanic Black PWUD.

Association of Opioid Use Disorder Diagnosis with Management of Acute Low Back Pain: A Medicare Retrospective Cohort Analysis

BACKGROUND

Practice guidelines recommend nonpharmacologic and nonopioid therapies as first-line pain treatment for acute pain. However, little is known about their utilization generally and among individuals with opioid use disorder (OUD) for whom opioid and other pharmacologic therapies carry greater risk of harm.

OBJECTIVE

To determine the association between a pre-existing OUD diagnosis and treatment of acute low back pain (aLBP).

DESIGN

Retrospective cohort study using 2016-2019 Medicare data.

PARTICIPANTS

Fee-for-service Medicare beneficiaries with a new episode of aLBP.

MAIN MEASURES

The main independent variable was OUD diagnosis measured prior to the first LBP claim (i.e., index date). Using multivariable logistic regressions, we assessed the following outcomes measured within 30 days of the index date: (1) nonpharmacologic therapies (physical therapy and/or chiropractic care), and (2) prescription opioids. Among opioid recipients, we further assessed opioid dose and co-prescription of gabapentin. Analyses were conducted overall and stratified by receipt of physical therapy, chiropractic care, opioid fills, or gabapentin fills during the 6 months before the index date.

KEY RESULTS

We identified 1,263,188 beneficiaries with aLBP, of whom 3.0% had OUD. Two-thirds (65.8%) did not receive pain treatments of interest at baseline. Overall, nonpharmacologic therapy receipt was less prevalent and opioid and nonopioid pharmacologic therapies were more common among beneficiaries with OUD than those without OUD. Beneficiaries with OUD had lower odds of receiving nonpharmacologic therapies (aOR = 0.62, 99%CI = 0.58-0.65) and higher odds of prescription opioid receipt (aOR = 2.24, 99%CI = 2.17-2.32). OUD also was significantly associated with increased odds of opioid doses ≥ 90 morphine milligram equivalents/day (aOR = 2.43, 99%CI = 2.30-2.56) and co-prescription of gabapentin (aOR = 1.15, 99%CI = 1.09-1.22). Similar associations were observed in stratified groups though magnitudes differed.

CONCLUSIONS

Medicare beneficiaries with aLBP and OUD underutilized nonpharmacologic pain therapies and commonly received opioids at high doses and with gabapentin. Complementing the promulgation of practice guidelines with implementation science could improve the uptake of evidence-based nonpharmacologic therapies for aLBP.

Effect of a peer-led emergency department behavioral intervention on non-fatal opioid overdose: 18-month outcome in the Navigator randomized controlled trial

BACKGROUND AND AIMS

Emergency departments (EDs) provide an opportunity to identify people at risk of overdose and reduce the risk. We evaluated the effect of an ED behavioral intervention delivered by peer recovery support specialists (PRSSs) on non-fatal opioid overdose.

DESIGN

Two-arm, randomized trial.

SETTING

Two EDs in Rhode Island, USA.

PARTICIPANTS

ED patients presenting with an opioid overdose, complications of opioid use disorder or a recent history of opioid overdose (November 2018-May 2021). Among 648 participants, the mean age was 36.9 years, 68.2% were male and 68.5% were White.

INTERVENTION AND COMPARATOR

Participants were randomized to receive a behavioral intervention from a PRSS (n = 323) or a licensed clinical social worker (LICSW) (n = 325). PRSS and LICSW used evidence-based interviewing and intervention techniques, informed by their lived experience (PRSS) or clinical theory and practice (LICSW).

MEASUREMENTS

We identified non-fatal opioid overdoses in the 18 months following the ED visit through linkage to statewide emergency medical services data using a validated case definition. The primary outcome was any non-fatal opioid overdose during the 18-month follow-up period.

FINDINGS

Among 323 participants randomized to the PRSS arm, 81 (25.1%) had a non-fatal opioid overdose during follow-up, compared with 95 (29.2%) of 325 participants randomized to the LICSW arm (P = 0.24). There was no statistically significant difference in the effectiveness of randomization to the PRSS arm versus the LICSW arm on the risk of non-fatal opioid overdose, adjusting for the history of previous overdose (relative risk = 0.86, 95% confidence interval = 0.67-1.11).

CONCLUSIONS

In Rhode Island, USA, over one-in-four emergency department patients at high risk of overdose experience a non-fatal opioid overdose in the 18 months post-discharge. We found no evidence that the risk of non-fatal opioid overdose differs for emergency department patients receiving a behavioral intervention from a peer recovery support specialist versus a licensed clinical social worker.

The association between naloxone claims and proportion of independent versus chain pharmacies: A longitudinal analysis of naloxone claims in the United States

BACKGROUND

Expanding access to naloxone through pharmacies is an important policy goal. Our objective was to characterize national county-level naloxone dispensing of chain versus independent pharmacies.

METHODS

The primary exposure in our longitudinal analysis was the proportion of chain pharmacies in a county, identified through the U.S. Department of Homeland Security 2010 Infrastructure Foundation-Level Data. We defined counties as having "higher proportion" of chain pharmacies if at least 50% of pharmacies were large national chains. The primary outcome was quarter-year (2016Q1-2019Q2) rate of pharmacy naloxone claims per 100,000 persons from Symphony Health at the county level. We compared the naloxone dispensing rate between county types using 2-sample t tests. We estimated the association between county-level chain pharmacy proportion and rate of naloxone claims using a linear model with year-quarter fixed effects.

RESULTS

Nearly one-third of counties (n = 946) were higher proportion. Higher proportion counties had a significantly higher rate of naloxone claims across the study period, in 4 of 6 urban-rural classifications, and in counties with and without naloxone access laws (NALs). The linear model confirmed that higher proportion counties had a significantly higher rate of naloxone claims, adjusting for urban-rural designation, income, population characteristics, opioid mortality rate, coprescribing laws, and NALs.

CONCLUSION

In this national study, we found an association between naloxone dispensing rates and the county-level proportion of chain (vs. independent) pharmacies. Incentivizing naloxone dispensing through educational, regulatory, or legal efforts may improve naloxone availability and dispensing rates-particularly in counties with proportionately high numbers of independent pharmacies.

Association Between Emergency Department Operational Metrics and Substance Use Disorder Treatment Interest in Two Rhode Island Hospitals

OBJECTIVE

This study examined if emergency department (ED) operational metrics, such as wait time or length of stay, are associated with interest in substance use disorder (SUD) treatment referral among patients at high risk of opioid overdose.

METHODS

In this observational study, 648 ED patients at high risk of opioid overdose completed a baseline questionnaire. Operational metrics were summarized using electronic health record data. The association between operational metrics and treatment interest was estimated with multivariable logistic regression.

RESULTS

Longer time to room (adjusted odds ratio [AOR]=1.12, 95% confidence interval [CI]=1.01-1.25) and length of stay (AOR=1.02, 95% CI=1.00-1.05) were associated with treatment referral interest. Time to provider and number of treating providers showed no significant association.

CONCLUSION

Longer rooming wait times and longer ED visits were associated with increased SUD treatment referral interest. This suggests patients who wait for longer periods may be motivated for treatment and warrant further resource investment.

Estimating the potential value of MSM-focused evidence-based implementation interventions in three Ending the HIV Epidemic jurisdictions in the United States: a model-based analysis

INTRODUCTION

Improving the delivery of existing evidence-based interventions to prevent and diagnose HIV is key to Ending the HIV Epidemic in the United States. Structural barriers in the access and delivery of related health services require municipal or state-level policy changes; however, suboptimal implementation can be addressed directly through interventions designed to improve the reach, effectiveness, adoption or maintenance of available interventions. Our objective was to estimate the cost-effectiveness and potential epidemiological impact of six real-world implementation interventions designed to address these barriers and increase the scale of delivery of interventions for HIV testing and pre-exposure prophylaxis (PrEP) in three US metropolitan areas.

METHODS

We used a dynamic HIV transmission model calibrated to replicate HIV microepidemics in Atlanta, Los Angeles (LA) and Miami. We identified six implementation interventions designed to improve HIV testing uptake ("Academic detailing for HIV testing," "CyBER/testing," "All About Me") and PrEP uptake/persistence ("Project SLIP," "PrEPmate," "PrEP patient navigation"). Our comparator scenario reflected a scale-up of interventions with no additional efforts to mitigate implementation and structural barriers. We accounted for potential heterogeneity in population-level effectiveness across jurisdictions. We sustained implementation interventions over a 10-year period and evaluated HIV acquisitions averted, costs, quality-adjusted life years and incremental cost-effectiveness ratios over a 20-year time horizon (2023-2042).

RESULTS

Across jurisdictions, implementation interventions to improve the scale of HIV testing were most cost-effective in Atlanta and LA (CyBER/testing cost-saving and All About Me cost-effective), while interventions for PrEP were most cost-effective in Miami (two of three were cost-saving). We estimated that the most impactful HIV testing intervention, CyBER/testing, was projected to avert 111 (95% credible interval: 110-111), 230 (228-233) and 101 (101-103) acquisitions over 20 years in Atlanta, LA and Miami, respectively. The most impactful implementation intervention to improve PrEP engagement, PrEPmate, averted an estimated 936 (929-943), 860 (853-867) and 2152 (2127-2178) acquisitions over 20 years, in Atlanta, LA and Miami, respectively.

CONCLUSIONS

Our results highlight the potential impact of interventions to enhance the implementation of existing evidence-based interventions for the prevention and diagnosis of HIV.

Mapping the Ecological Terrain of Stroke Prehospital Delay: A Nationwide Registry Study

BACKGROUND

Delays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability.

METHODS

We studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0.

RESULTS

Of 750 336 patients, 149 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]).

CONCLUSIONS

This map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.

Evaluation of Strategies to Enhance Community-Based Naloxone Distribution Supported by an Opioid Settlement

Importance

Many US states are substantially increasing community-based naloxone distribution, supported in part through settlements from opioid manufacturers and distributors.

Objectives

To evaluate the potential impact of increased naloxone availability on opioid overdose deaths (OODs) and explore strategies to enhance this impact by integrating interventions to address solitary drug use.

Design, Setting, and Participants

This decision analytical modeling study used PROFOUND (Prevention and Rescue of Fentanyl and Other Opioid Overdoses Using Optimized Naloxone Distribution Strategies), a previously published simulation model, to forecast annual OODs between January 2023 and December 2025. The simulated study population included individuals from Rhode Island who misused opioids and stimulants and were at risk for opioid overdose.

Exposures

The study modeled expanded naloxone distribution supported by the state's opioid settlement (50 000 naloxone nasal spray kits each year). Two approaches to expanding naloxone distribution were evaluated: one based on historical spatial patterns of naloxone distribution (supply-based approach) and one based on the spatial distribution of individuals at risk (demand-based approach). In addition, hypothetical interventions to enhance the likelihood of witnessed overdoses in private or semiprivate settings were considered.

Main Outcomes and Measures

Annual number of OODs and ratio of fatal to nonfatal opioid overdoses.

Results

Modeling results indicated that distributing more naloxone supported by the state's opioid settlement could reduce OODs by 6.3% (95% simulation interval [SI], 0.3%-13.7%) and 8.8% (95% SI, 1.8%-17.5%) in 2025 with the supply-based and demand-based approaches, respectively. However, increasing witnessed overdoses by 20% to 60% demonstrated greater potential for reducing OODs, ranging from 8.5% (95% SI, 0.0%-20.3%) to 24.1% (95% SI, 8.6%-39.3%). Notably, synergistic associations were observed when combining both interventions: increased naloxone distribution with the 2 approaches and a 60% increase in witnessed overdoses could reduce OODs in 2025 by 33.5% (95% SI, 17.1%-50.4%) and 37.4% (95% SI, 19.6%-56.3%), respectively.

Conclusions and Relevance

These findings suggest that interventions to address solitary drug use are needed to maximize the impact of continued efforts to increase community-based naloxone distribution, which may be particularly important for jurisdictions that have strong community-based naloxone distribution programs.

Association between comorbid chronic pain or prior hospitalization for mental illness and substance use treatment among a cohort at high risk of opioid overdose

INTRODUCTION

Chronic pain and serious mental illness increase risk of opioid use, and opioid use can exacerbate both conditions. Substance use disorder (SUD) treatment can be lifesaving, but chronic pain and serious mental illness may make recovery challenging. We evaluated the association between current chronic pain and prior hospitalization for mental illness and 90-day SUD treatment engagement, among emergency department (ED) patients at high risk of opioid overdose.

METHODS

We conducted a cohort analysis of 648 ED patients enrolled in a randomized controlled trial in Rhode Island. We linked baseline study data on chronic pain and prior hospitalization for mental illness to statewide administrative data on state-licensed treatment programs (including methadone) and buprenorphine treatment via prescription. We defined treatment engagement as initiation of a state-licensed treatment program, transfer between state-licensed programs/providers, or a buprenorphine prescription (re-)fill. We used modified Poisson models to estimate the association between each baseline comorbidity and treatment engagement within 90 days following the ED visit, adjusted for a priori potential confounders. In an exploratory analysis, models were stratified by baseline treatment status.

RESULTS

The mean age of participants was 37 years; 439 (68 %) were male, and 446 (69 %) had been recently unhoused. Overall, 278 participants (43 %) engaged in treatment within 90 days of the ED visit. Participants with prior hospitalization for mental illness were more likely to engage in treatment than those without (adjusted risk ratio [ARR] = 1.24, 95 % confidence interval [CI] = 1.01-1.53), although this association was only among those already accessing treatment at baseline (ARR = 1.58, 95 % CI = 1.10-2.27). Chronic pain was not associated with 90-day treatment engagement overall (ARR = 1.12, 95 % CI = 0.91-1.38) or within baseline treatment subgroups.

CONCLUSIONS

Among ED patients at high risk of opioid overdose and accessing treatment at baseline, those with prior hospitalization for mental illness (but not chronic pain) were more likely to engage in treatment following the ED visit, which may reflect disproportionate initiation of additional treatment programs, transfer between programs/providers, or ongoing buprenorphine treatment. Touchpoints within the medical system should be leveraged to ensure that everyone, including those with serious mental illness, can access high-quality SUD treatment at the desired intensity level.

Provider perceptions of systems-level barriers and facilitators to utilizing family-based treatment approaches in adolescent and young adult opioid use disorder treatment

BACKGROUND

Amidst increasing opioid-related fatalities in adolescents and young adults (AYA), there is an urgent need to enhance the quality and availability of developmentally appropriate, evidence-based treatments for opioid use disorder (OUD) and improve youth engagement in treatment. Involving families in treatment planning and therapy augments medication-based OUD treatment for AYA by increasing treatment engagement and retention. Yet, uptake of family-involved treatment for OUD remains low. This study examined systems-level barriers and facilitators to integrating families in AYA OUD treatment in Rhode Island.

METHODS

An online survey was administered to clinic leaders and direct care providers who work with AYA in programs that provide medication and psychosocial treatments for OUD. The survey assessed attitudes towards and experiences with family-based treatment, barriers and facilitators to family-based treatment utilization, as well as other available treatment services for AYA and family members. Findings were summarized using descriptive statistics.

RESULTS

A total of 104 respondents from 14 distinct treatment programs completed the survey. Most identified as White (72.5%), female (72.7%), and between 25 and 44 years of age (59.4%). Over half (54.1%) of respondents reported no experience with family based treatment and limited current opportunities to involve families. Barriers perceived as most impactful to adopting family-based treatment were related to limited available resources (i.e. for staff training, program expansion) and lack of prioritization of family-based treatment in staff productivity requirements. Barriers perceived as least impactful were respondent beliefs and attitudes about family-based treatment (e.g., perception of the evidence strength and quality of family-based treatment, interest in implementing family-based treatment) as well as leadership support of family-based treatment approaches. Respondents identified several other gaps in availability of comprehensive treatment services, especially for adolescents (e.g. services that increase social recovery capital).

CONCLUSIONS

Family-based treatment opportunities for AYA with OUD in Rhode Island are limited. Affordable and accessible training programs are needed to increase provider familiarity and competency with family-based treatment. Implementation of programming to increase family involvement in treatment (i.e. psychoeducational and skills-based groups for family members) rather than adopting a family-based treatment model may be a more feasible step to better meet the needs of AYA with OUD.

TRIAL REGISTRATION

not applicable.

Characterizing opioid overdose hotspots for place-based overdose prevention and treatment interventions: A geo-spatial analysis of Rhode Island, USA

OBJECTIVE

Examine differences in neighborhood characteristics and services between overdose hotspot and non-hotspot neighborhoods and identify neighborhood-level population factors associated with increased overdose incidence.

METHODS

We conducted a population-based retrospective analysis of Rhode Island, USA residents who had a fatal or non-fatal overdose from 2016 to 2020 using an environmental scan and data from Rhode Island emergency medical services, State Unintentional Drug Overdose Reporting System, and the American Community Survey. We conducted a spatial scan via SaTScan to identify non-fatal and fatal overdose hotspots and compared the characteristics of hotspot and non-hotspot neighborhoods. We identified associations between census block group-level characteristics using a Besag-York-Mollié model specification with a conditional autoregressive spatial random effect.

RESULTS

We identified 7 non-fatal and 3 fatal overdose hotspots in Rhode Island during the study period. Hotspot neighborhoods had higher proportions of Black and Latino/a residents, renter-occupied housing, vacant housing, unemployment, and cost-burdened households. A higher proportion of hotspot neighborhoods had a religious organization, a health center, or a police station. Non-fatal overdose risk increased in a dose responsive manner with increasing proportions of residents living in poverty. There was increased relative risk of non-fatal and fatal overdoses in neighborhoods with crowded housing above the mean (RR 1.19 [95 % CI 1.05, 1.34]; RR 1.21 [95 % CI 1.18, 1.38], respectively).

CONCLUSION

Neighborhoods with increased prevalence of housing instability and poverty are at highest risk of overdose. The high availability of social services in overdose hotspots presents an opportunity to work with established organizations to prevent overdose deaths.

PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-level Overdose Risk in Rhode Island

BACKGROUND

Drug overdose persists as a leading cause of death in the United States, but resources to address it remain limited. As a result, health authorities must consider where to allocate scarce resources within their jurisdictions. Machine learning offers a strategy to identify areas with increased future overdose risk to proactively allocate overdose prevention resources. This modeling study is embedded in a randomized trial to measure the effect of proactive resource allocation on statewide overdose rates in Rhode Island (RI).

METHODS

We used statewide data from RI from 2016 to 2020 to develop an ensemble machine learning model predicting neighborhood-level fatal overdose risk. Our ensemble model integrated gradient boosting machine and super learner base models in a moving window framework to make predictions in 6-month intervals. Our performance target, developed a priori with the RI Department of Health, was to identify the 20% of RI neighborhoods containing at least 40% of statewide overdose deaths, including at least one neighborhood per municipality. The model was validated after trial launch.

RESULTS

Our model selected priority neighborhoods capturing 40.2% of statewide overdose deaths during the test periods and 44.1% of statewide overdose deaths during validation periods. Our ensemble outperformed the base models during the test periods and performed comparably to the best-performing base model during the validation periods.

CONCLUSIONS

We demonstrated the capacity for machine learning models to predict neighborhood-level fatal overdose risk to a degree of accuracy suitable for practitioners. Jurisdictions may consider predictive modeling as a tool to guide allocation of scarce resources.

Association between willingness to use an overdose prevention center and probation or parole status among people who use drugs in Rhode Island

BACKGROUND

Overdose prevention centers (OPCs) are being implemented in the United States as a strategy to reduce drug-related mortality and morbidity. Previous studies have suggested that people who use drugs (PWUD) with a history of criminal legal system (CLS) involvement (e.g. current probation/parole) are at greater risk of overdose but may also encounter significant barriers to OPC use. The objective of this study was to explore the association between willingness to use an OPC and probation/parole status in a sample of PWUD in Rhode Island.

METHODS

This study utilized data from the Rhode Island Prescription and Illicit Drug Study, which enrolled adult PWUD from August 2020 to February 2023. We used Pearson's chi-square and Wilcoxon rank-sum tests to assess bivariate associations between willingness to use an OPC and probation/parole status (current/previous/never), as well as other sociodemographic and behavioral characteristics. In multivariable Poisson analyses, we examined the association between willingness to use an OPC and probation/parole status, adjusting for key sociodemographic and behavioral characteristics.

RESULTS

Among 482 study participants, 67% were male, 56% identified as white, 20% identified as Hispanic/Latine, and the median age was 43 (IQR 35-53). Nearly a quarter (24%) had never been on probation/parole, 44% were not currently on probation/parole but had a lifetime history of probation and parole, and 32% were currently on probation/parole. Most participants (71%) reported willingness to use an OPC, and in both bivariate and multivariable analyses, willingness to use an OPC did not vary by probation/parole status. Crack cocaine use and lifetime non-fatal overdose were associated with greater willingness to use an OPC (all p < 0.05).

CONCLUSIONS

These data demonstrate high willingness to use OPC among PWUD in Rhode Island regardless of CLS-involvement. As OPCs begin to be implemented in Rhode Island, it will be imperative to engage people with CLS-involvement and to ensure access to the OPC and protection against re-incarceration due to potential barriers, such as police surveillance of OPCs.

"Make yourself un-NIMBY-able": stakeholder perspectives on strategies to mobilize public and political support for overdose prevention centers in the United States of America

BACKGROUND

Overdose prevention centers (OPCs), also known as supervised injection facilities and safe consumption sites, are evidenced-based interventions for preventing overdose deaths and drug-related morbidities. The pathways to legalizing OPCs in the USA have confronted multiple social, political, and legal obstacles. We conducted a multi-site, qualitative study to explore heterogeneities in these pathways in four jurisdictions, as well as to understand stakeholder perspectives on valuable strategies for galvanizing political and public support for OPCs.

METHODS

From July 2022 to February 2023, we conducted 17 semi-structured, in-depth interviews with OPC policymakers, service providers, advocates, and researchers from California, New York City, Philadelphia, and Rhode Island, where efforts have been undertaken to authorize OPCs. Using inductive thematic analysis, we identified and compared contextually relevant, salient approaches for increasing support for OPCs.

RESULTS

Participants described several strategies clustering around five distinct domains: (1) embedding OPC advocacy into broader overdose prevention coalitions to shape policy dialogs; (2) building rapport with a plurality of powerbrokers (e.g., lawmakers, health departments, law enforcement) who could amplify the impact of OPC advocacy; (3) emphasizing specific benefits of OPCs to different audiences in different contexts; (4) leveraging relationships with frontline workers (e.g., emergency medicine and substance use treatment providers) to challenge OPC opposition, including 'NIMBY-ism,' and misinformation; and (5) prioritizing transparency in OPC decision-making to foster public trust.

CONCLUSION

While tailored to the specific socio-political context of each locality, multiple OPC advocacy strategies have been deployed to cultivate support for OPCs in the USA. Advocacy strategies that are multi-pronged, leverage partnerships with stakeholders at multiple levels, and tailor communications to different audiences and settings could yield the greatest impact in increasing support for, and diffusing opposition to, future OPC implementation.

Impact of 30-day prescribed opioid dose trajectory on fatal overdose risk: A population-based, statewide cohort study

BACKGROUND

Both increases and decreases in patients' prescribed daily opioid dose have been linked to increased overdose risk, but associations between 30-day dose trajectories and subsequent overdose risk have not been systematically examined.

OBJECTIVE

To examine the associations between 30-day prescribed opioid dose trajectories and fatal opioid overdose risk during the subsequent 15 days.

DESIGN

Statewide cohort study using linked prescription drug monitoring program and death certificate data. We constructed a multivariable Cox proportional hazards model that accounted for time-varying prescription-, prescriber-, and pharmacy-level factors.

PARTICIPANTS

All patients prescribed an opioid analgesic in California from March to December, 2013 (5,326,392 patients).

MAIN MEASURES

Dependent variable: fatal drug overdose involving opioids. Primary independent variable: a 16-level variable denoting all possible opioid dose trajectories using the following categories for current and 30-day previously prescribed daily dose: 0-29, 30-59, 60-89, or ≥90 milligram morphine equivalents (MME).

KEY RESULTS

Relative to patients prescribed a stable daily dose of 0-29 MME, large (≥2 categories) dose increases and having a previous or current dose ≥60 MME per day were associated with significantly greater 15-day overdose risk. Patients whose dose decreased from ≥90 to 0-29 MME per day had significantly greater overdose risk compared to both patients prescribed a stable daily dose of ≥90 MME (aHR 3.56, 95%CI 2.24-5.67) and to patients prescribed a stable daily dose of 0-29 MME (aHR 7.87, 95%CI 5.49-11.28). Patients prescribed benzodiazepines also had significantly greater overdose risk; being prescribed Z-drugs, carisoprodol, or psychostimulants was not associated with overdose risk.

CONCLUSIONS

Large (≥2 categories) 30-day dose increases and decreases were both associated with increased risk of fatal opioid overdose, particularly for patients taking ≥90 MME whose opioids were abruptly stopped. Results align with 2022 CDC guidelines that urge caution when reducing opioid doses for patients taking long-term opioid for chronic pain.

Changes to opioid overdose deaths and community naloxone access among Black, Hispanic and White people from 2016 to 2021 with the onset of the COVID-19 pandemic: An interrupted time-series analysis in Massachusetts, USA

BACKGROUND AND AIMS

The onset of the coronavirus disease 2019 (COVID-19) pandemic was associated with a surge in opioid overdose deaths in Massachusetts, particularly affecting racial and ethnic minority communities. We aimed to compare the impact of the pandemic on opioid overdose fatalities and naloxone distribution from community-based programs across racial and ethnic groups in Massachusetts.

DESIGN

Interrupted time-series.

SETTING AND CASES

Opioid overdose deaths (OODs) among non-Hispanic White, non-Hispanic Black, Hispanic and non-Hispanic other race people in Massachusetts, USA (January 2016 to June 2021).

MEASUREMENTS

Rate of OODs per 100 000 people, rate of naloxone kits distributed per 100 000 people and ratio of naloxone kits per opioid overdose death as a measure of naloxone availability. We applied five imputation strategies using complete data in different periods to account for missingness of race and ethnicity for naloxone data.

FINDINGS

Before COVID-19 (January 2016 to February 2020), the rate of OODs declined among non-Hispanic White people [0.2% monthly reduction (95% confidence interval = 0.0-0.4%)], yet was relatively constant among all other population groups. The rate of naloxone kits increased across all groups (0.8-1.2% monthly increase) and the ratio of naloxone kits per OOD death among non-Hispanic White was 1.1% (0.8-1.4%) and among Hispanic people was 1.0% (0.2-1.8%). After the onset of the pandemic (March 2020+), non-Hispanic Black people experienced an immediate increase in the rate of OODs [63.6% (16.4-130%)], whereas rates among other groups remained similar. Trends in naloxone rescue kit distribution did not substantively change among any groups, and the ratio of naloxone kits per OOD death for non-Hispanic Black people did not compensate for the surge in OODs deaths in this group.

CONCLUSIONS

With the onset of the COVID-19 pandemic, there was a surge in opioid overdose deaths among non-Hispanic Black people in Massachusetts, USA with no compensatory increase in naloxone rescue kit distribution. For non-Hispanic White and Hispanic people, opioid overdose deaths remained stable and naloxone kit distribution continued to increase.

The Association Between Expanded ACEs and Behavioral Health Outcomes Among Youth at First Time Legal System Contact

A growing body of literature has documented high rates of adverse childhood experiences (ACEs) and their effects on behavioral health among adolescents impacted by the juvenile legal system. Most research with justice-impacted youth assesses the ten standard ACEs, encompassing abuse, neglect, and household dysfunction. This body of work has largely ignored the five expanded ACEs which assess social and community level adversity. Justice-impacted youth commonly experience expanded ACEs (racial discrimination, placement in foster care, living in a disadvantaged neighborhood, witnessing violence, bullying), and inclusion of these adversities may enhance predictive utility of the commonly used ACEs score. The current study examined the prospective impact of total ACEs (standard and expanded) on alcohol and cannabis use, substance-related consequences, and psychiatric symptoms during the year following first ever contact with the juvenile court. Results indicate justice-impacted youth experience multiple expanded ACEs prior to first court contact. The expanded ACEs did not predict any of the behavioral health outcomes assessed, over and above the standard ACEs. Inclusion of expanded ACEs in the standard ACEs score may not increase utility in identifying prospective behavioral health outcomes among youth in first time contact with the juvenile legal system.

Estimating the epidemiological impact of reaching the objectives of the Florida integrated HIV prevention and care plan in Miami-Dade County

Background

The US Ending the HIV Epidemic (EHE) initiative aims to reduce national HIV incidence 90% by 2030 and to address the disproportionate burden of HIV among different racial/ethnic populations. Florida's state-wide 2022-2026 Integrated HIV Prevention and Care Plan outlines objectives for reaching EHE goals. In Miami-Dade County, we determined the epidemiological impact of achieving the integrated plan's objectives individually and jointly.

Methods

We adapted an HIV transmission model calibrated to Miami-Dade County adjusting access to HIV testing, pre-exposure prophylaxis (PrEP) and antiretroviral treatment to model the effects of each objective between 2022 and 2030. We compared two service scale-up approaches: (a) scale-up proportionally to existing racial/ethnic group access levels, and (b) scale-up according to new diagnoses across racial/ethnic groups (equity-oriented). We estimated reductions in new HIV infections by each objective and approach, compared to the EHE's incidence reduction target.

Findings

The single most influential strategy was reducing new HIV diagnoses in Hispanic/Latinx men who have sex with men through increased PrEP uptake, resulting in 907/2444 (37.1%) fewer annual new HIV infections in 2030. Achieving all objectives jointly would result in 1537/2444 (62.9%) and 1553/2444 (63.5%) fewer annual new HIV infections with the proportional and equity-oriented approaches, respectively.

Interpretation

Achieving the goals of Florida's integrated care plan would significantly reduce HIV incidence in Miami-Dade County; however, further efforts are required to achieve EHE targets. Structural changes in service delivery and a focus on effective implementation of available interventions to address racial/ethnic disparities will be crucial to ending the HIV epidemic.

Funding

This work was supported by the National Institutes of Health/National Institute on Drug Abuse grant no. R01-DA041747.

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.

Translating Predictive Analytics for Public Health Practice: A Case Study of Overdose Prevention in Rhode Island

Prior applications of machine learning to population health have relied on conventional model assessment criteria, limiting the utility of models as decision support tools for public health practitioners. To facilitate practitioners' use of machine learning as a decision support tool for area-level intervention, we developed and applied 4 practice-based predictive model evaluation criteria (implementation capacity, preventive potential, health equity, and jurisdictional practicalities). We used a case study of overdose prevention in Rhode Island to illustrate how these criteria could inform public health practice and health equity promotion. We used Rhode Island overdose mortality records from January 2016-June 2020 (n = 1,408) and neighborhood-level US Census data. We employed 2 disparate machine learning models, Gaussian process and random forest, to illustrate the comparative utility of our criteria to guide interventions. Our models predicted 7.5%-36.4% of overdose deaths during the test period, illustrating the preventive potential of overdose interventions assuming 5%-20% statewide implementation capacities for neighborhood-level resource deployment. We describe the health equity implications of use of predictive modeling to guide interventions along the lines of urbanicity, racial/ethnic composition, and poverty. We then discuss considerations to complement predictive model evaluation criteria and inform the prevention and mitigation of spatially dynamic public health problems across the breadth of practice. This article is part of a Special Collection on Mental Health.