To guide intervention efforts, we identified the proportion of individuals previously engaged in opioid agonist therapy among people who died of an accidental opioid-involved overdose. Most individuals (60.9%) had never received any prior buprenorphine or methadone treatment. Individuals who died of an overdose in 2020 had a similar demographic profile and treatment history compared with prior years. To prevent additional accidental opioid-involved overdose deaths, efforts should be directed toward linking individuals to care.
CDC, the Food and Drug Administration (FDA), state and local health departments, and public health and clinical stakeholders continue to investigate a nationwide outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) (1). EVALI patients in Illinois, Utah, and Wisconsin acquired tetrahydrocannabinol (THC)-containing products primarily from informal sources (2,3). This report updates demographic characteristics and self-reported sources of THC- and nicotine-containing e-cigarette, or vaping, products derived from EVALI patient data reported to CDC by state health departments. As of January 7, 2020, among 1,979 (76%) patients with available data on substance use, a total of 1,620 (82%) reported using any THC-containing products, including 665 (34%) who reported exclusive THC-containing product use. Use of any nicotine-containing products was reported by 1,128 (57%) patients, including 264 (13%) who reported exclusive nicotine-containing product use. Among 809 (50%) patients reporting data on the source of THC-containing products, 131 (16%) reported acquiring their products from only commercial sources (i.e., recreational dispensaries, medical dispensaries, or both; vape or smoke shops; stores; and pop-up shops), 627 (78%) from only informal sources (i.e., friends, family, in-person or online dealers, or other sources), and 51 (6%) from both types of sources. Among 613 (54%) EVALI patients reporting nicotine-containing product use with available data on product source, 421 (69%) reported acquiring their products from only commercial sources, 103 (17%) from only informal sources, and 89 (15%) from both types of sources. Adolescents aged 13-17 years were more likely to acquire both THC- and nicotine-containing products from informal sources than were persons in older age groups. The high prevalence of acquisition of THC-containing products from informal sources by EVALI patients reinforces CDC's recommendation to not use e-cigarette, or vaping, products that contain THC, especially those acquired from informal sources. Although acquisition of nicotine-containing products through informal sources was not common overall, it was common among persons aged <18 years. While the investigation continues, CDC recommends that the best way for persons to ensure that they are not at risk is to consider refraining from the use of all e-cigarette, or vaping, products.
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.
Context: In the United States, minority populations are disproportionately affected by the overdose epidemic, have higher mortality rates, and unequal access to harm reduction and treatment services. Objective: This analysis aims to better understand harm reduction utilization and substance use patterns among minority populations to improve overdose outreach and prevention initiatives in Rhode Island. Design: The present analysis used data from the Harm Reduction Surveillance System from January 2021 to December 2022 (N = 393). Chi-square tests and multivariable regression models were used to investigate differences in substance use behaviors by race and ethnicity. Setting: Rhode Island. Participants: Participants include individuals who self-reported the use of illicit drugs, currently reside in Rhode Island, and were older than 18 years. Main Outcome Measures: Methods of drug use and uptake of harm reduction practices. Results: Among survey participants, 41% were non-Hispanic White, 57% were aged 25 to 44 years, 62% identified as male, and 95% had health insurance coverage. Most participants reported smoking as their method of drug use (90%) and harm reduction practices were underutilized by all race and ethnicity groups. Fewer non-Hispanic Black participants reported carrying naloxone compared to the other race and ethnicity groups. Non-Hispanic Black and Hispanic participants were significantly less likely to inject drugs compared with non-Hispanic White participants (adjusted odds ratio [AOR] = 0.14; 95% confidence interval [CI], 0.04-0.45) (AOR = 0.40; 95% CI, 0.18-0.90). Conclusions: Smoking was the most common self-reported method of substance administration for all participants, whereas injection was more prevalent among non-Hispanic White participants. There is a continued need for minority-led and culturally informed harm reduction and treatment services for minority populations.
Buprenorphine treatment for opioid use disorder (OUD) has more than doubled since 2009. However, current US Food and Drug Administration buprenorphine dosing guidelines are based on studies among people using heroin, prior to the emergence of fentanyl in the illicit drug supply. To estimate the association between buprenorphine dose and time to treatment discontinuation during a period of widespread fentanyl availability. This retrospective cohort study used statewide Rhode Island Prescription Drug Monitoring Program data. Participants were Rhode Island residents initiating buprenorphine treatment for OUD between October 1, 2016, and September 30, 2020. Data analysis was performed from December 9, 2022, to August 10, 2023. Daily dose of buprenorphine (16 mg and 24 mg) defined starting on the day of initiation based on total quantity and days' supply dispensed. Patients were censored on any dose change. Buprenorphine treatment discontinuation in the 180 days following initiation, defined as a gap in treatment of more than 27 days based on prescription fill dates and days' supply. Kaplan-Meier and Cox regression survival analyses were conducted to estimate the association between buprenorphine dose and time to treatment discontinuation, controlling for potential informative censoring and measured potential confounders. Among 6499 patients initiating buprenorphine treatment for OUD, most were aged 25 to 44 years (57%; n = 3682), were male (61%; n = 3950), and had private (47%; n = 3025) or Medicaid (33%; n = 2153) insurance. More than half of patients were prescribed a daily dose of interest at initiation (16 mg: 50%; n = 3264; 24 mg: 10%; n = 668). In Kaplan-Meier analyses, 58% of patients discontinued buprenorphine treatment within 180 days (16 mg: 59% vs 24 mg: 53%; log-rank test P = .005). In Cox regression analyses, patients prescribed a dose of 16 mg had a greater risk of treatment discontinuation than those prescribed 24 mg (adjusted hazard ratio, 1.20; 95% CI, 1.06-1.37). In this cohort study of patients initiating buprenorphine treatment from 2016 to 2020, patients prescribed a 24 mg dose of buprenorphine remained in treatment longer than those prescribed 16 mg. The value of higher buprenorphine doses than currently recommended needs to be considered for improving retention in treatment.
Background Emergency department (ED) visits are an opportunity to provide prevention services to people at high risk of overdose. Considering patients' resources to initiate and sustain recovery ("recovery capital") may be useful for tailoring ED services, although its relevance in this population is unknown.
To analyze recent trends in initiate pediatric opioid prescriptions dispensed in Rhode Island.All Rhode Island residents aged 0-17 years with an initiate opioid prescription dispensed between January 1, 2017 and December 31, 2021 were obtained from the Rhode Island Prescription Drug Monitoring Program. Analyses were conducted to investigate trends related to patient demographics, prescription characteristics, diagnosis codes, and prescriber type.From 2017-2021, there was a decrease in the number of unique pediatric patients dispensed an initiate prescription, the number of initiate pediatric opioid prescriptions, and the initiate prescription dosage. Initiate opioid prescriptions were primarily related to dental-related diagnoses, and dentists and oral and maxillofacial (OMF) surgeons comprised the largest category of prescriber type.Initiate pediatric opioid prescriptions have decreased in Rhode Island in recent years. However, there remain opportunities to educate prescribers on reducing opioid exposure to vulnerable populations, including the use of alternate analgesics.
