Background: Drug overdose deaths increased by 50 % between 2017 and 2021 in San Francisco. Little is known about non-fatal overdose, which heralds future risk for morbidity and overdose death. We assessed non-fatal overdose, access to drug treatment, and overdose prevention service utilization among people who inject drugs (PWID) in San Francisco in 2022.
Methods: Data were from the National HIV Behavioral Surveillance (NHBS), a cross-sectional survey among PWID recruited by respondent-driven sampling from June-December 2022. Participants self-reported their experience of overall overdose. Logistic regression analysis identified factors associated with non-fatal overdose.
Results: Of 521 PWID, 120 (23.0 %) experienced non-fatal overdose; 207 (39.7 %) frequently injected methamphetamine and 175 (33.6 %) frequently injected heroin in the past 12 months. PWID who experienced non-fatal overdose were more likely to reside in the low-income neighborhoods (25.9 % vs. other neighborhoods 16.8 %, p = 0.022) in the past 12 months. Less than half (43.7 %) of PWID who experienced non-fatal overdose received overdose treatment. Compared to those who did not try to access treatment, adjusted odds of non-fatal overdose was 1.89 times higher among PWID who attempted to access drug treatment but were unable to (p = 0.035, 95 % CI 1.05-3.43); and 1.86 times higher among PWID who attempted to obtain medications to treat drug use but were unable to in the past 12 months (p = 0.049, 95 % CI: 1.00-3.43).
Conclusions: Non-fatal overdose was highly prevalent among PWID, including those who frequently inject stimulants. Public health surveillance will need to be vigilant in monitoring stimulant use and tracking fentanyl contamination in non-opioid drugs. PWID who were most engaged in harm reduction practices were also the most likely to experience non-fatal overdose. Expansion of substance use and overdose treatment, naloxone, fentanyl test strips, and safe drug use education are needed to reduce risk of overdose deaths among PWID.
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http://dx.doi.org/10.1016/j.drugpo.2024.104602 | DOI Listing |
Soc Sci Med
December 2024
British Columbia Centre on Substance Use, 400-1045 Howe, Vancouver, BC, V6Z 2A9, Canada; Department of Medicine, University of British Columbia, 317-2194 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada. Electronic address:
Background: While marked gender-based differences in drug-related risk and harm between men women who use drugs have been characterized to some extent, the complex relationship between gendered socioeconomic conditions, overdose risk, and drug use patterns and behaviours remains underexplored.
Methods: We conducted gender-stratified repeated measures latent class analyses (RMLCA) with data from two ongoing cohorts of people who use drugs in Vancouver, Canada to identify discrete subgroups based on socioeconomic exposures. Multivariable generalized estimating equations models weighted by the respective posterior membership probabilities were applied to estimate the associations between socioeconomic class membership and non-fatal overdose.
Prehosp Emerg Care
January 2025
Department of Emergency Medicine, MetroHealth Medical Center, Cleveland, Ohio.
Objectives: Opioid-associated fatal and non-fatal overdose rates continue to rise. Prehospital overdose education and naloxone distribution (OEND) programs are attractive harm-reduction strategies, as patients who are not transported by EMS after receiving naloxone have limited access to other interventions. This narrative summary describes our experiences with prehospital implementation of evidence-based OEND practices across Ohio as part of the HEALing Communities Study (HCS).
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December 2024
Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Background: The Centers for Disease Control and Prevention's Drug Overdose Surveillance and Epidemiology (DOSE) system captures non-fatal overdose data from health departments' emergency department (ED) and inpatient hospitalisation discharge data; however, these data have not been compared with other established state-level surveillance systems, which may lag by several years depending on the state. This analysis compared non-fatal overdose rates from DOSE discharge data with rates from the Healthcare Cost and Utilization Project (HCUP) in order to compare DOSE data against an established dataset.
Methods: DOSE discharge data case definitions (ie, International Classification of Diseases, 10th revision, Clinical Modification codes) for non-fatal unintentional/undetermined intent all drug, all opioid-involved, heroin-involved and stimulant-involved overdoses were applied to HCUP's 2018-2020 State Emergency Department Databases (SEDD) and State Inpatient Databases (SID).
Sleep
December 2024
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Study Objectives: Opioid use disorder (OUD) is a chronic, relapse-prone condition, often accompanied by sleep disturbances such as insomnia. While sleep disturbances have been implicated in negative treatment outcomes, no large-scale studies have examined the relationship between insomnia disorder and outcomes for persons completing an acute OUD treatment episode. This study assessed the association between insomnia symptoms at treatment intake, during treatment, and following acute treatment with post-treatment episode return to use, and non-fatal overdose outcomes.
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