Introduction: Opioid-related overdose mortality rates have increased sharply in the U.S. over the past two decades, and inequities across racial and ethnic groups have been documented. Opioid-related overdose trends among American Indian and Alaska Natives require further quantification and assessment.
Methods: Observational, U.S. population-based registry data on opioid-related overdose mortality between 1999 and 2021 were extracted in 2023 using ICD-10 codes from the U.S. Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research multiple cause of death file by race, Hispanic ethnicity, sex, and age. Segmented time series analyses were conducted to estimate opioid-related overdose mortality growth rates among the American Indian and Alaska Native population between 1999 and 2021. Analyses were performed in 2023.
Results: Two distinct time segments revealed significantly different opioid-related overdose mortality growth rates within the overall American Indian and Alaska Native population, from 0.36 per 100,000 (95% CI=0.32, 0.41) between 1999 and 2019 to 6.5 (95% CI=5.7, 7.31) between 2019 and 2021, with the most pronounced increase among those aged 24-44 years. Similar patterns were observed within the American Indian and Alaska Native population with Hispanic ethnicity, but the estimated growth rates were generally steeper across most age groups than across the overall American Indian and Alaska Native population. Patterns of opioid-related overdose mortality growth rates were similar between American Indian and Alaska Native females and males between 2019 and 2021.
Conclusions: Sharp increases in opioid-related overdose mortality rates among American Indian and Alaska Native communities are evident by age and Hispanic ethnicity, highlighting the need for culturally sensitive fatal opioid-related overdose prevention, opioid use disorder treatment, and harm-reduction efforts. Future research should aim to understand the underlying factors contributing to these high mortality rates and employ interventions that leverage the strengths of American Indian and Alaska Native culture, including the strong sense of community.
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http://dx.doi.org/10.1016/j.amepre.2024.01.019 | DOI Listing |
NPJ Digit Med
January 2025
Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester, United Kingdom.
Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. This review evaluated the types and quality of ML methods in opioid safety research, identifying 44 studies using supervised ML through searches of Ovid MEDLINE, PubMed and SCOPUS databases. Commonly predicted outcomes included postoperative opioid use (n = 15, 34%) opioid overdose (n = 8, 18%), opioid use disorder (n = 8, 18%) and persistent opioid use (n = 5, 11%) with varying definitions.
View Article and Find Full Text PDFBMJ Open
January 2025
The University of British Columbia, Vancouver, British Columbia, Canada
Objectives: This study evaluates the prevalence and correlates of opioid agonist therapy (OAT) discontinuation across British Columbia (BC), using a sample of individuals who used substances and accessed harm reduction sites.
Design: This study uses data from the 2019 cross-sectional Harm Reduction Client Survey (HRCS).
Setting: The 2019 survey was administered from October to December at 22 harm reduction supply distribution sites across the 5 Regional Health Authorities of BC.
Harm Reduct J
January 2025
Turning Point, Eastern Health, Richmond, VIC, Australia.
Background: People in justice settings experience higher rates of psychiatric morbidity, including alcohol and drug use disorders, compared with the general population. However, our understanding of opioid-related harms in justice settings is limited. This study used ambulance data to examine opioid-related harms and experiences of care in New South Wales (NSW), Australia, during periods of incarceration or detention.
View Article and Find Full Text PDFAddict Sci Clin Pract
January 2025
Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03766, USA.
Background: Opioid-related fatal overdoses are occurring at historically high levels and increasing each year. Accessible social and financial support are imperative to the initiation and success of treatment for Opioid Use Disorder (OUD). Medications for Opioid Use Disorder (MOUD) offer effective treatment but there are many more people with untreated OUD than receiving evidence-based medication.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
January 2025
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, USA.
Purpose: Long-term opioid therapy (LTOT) has been shown to be associated with opioid overdose, but the definition of LTOT varies widely across studies. We use a rigorous LTOT definition to examine risk of opioid overdose by duration of treatment.
Methods: Data were from a large private health insurance provider in North Carolina linked to mortality records from 2006-2018.
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