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Background: From 1999 to 2017, more than 400,000 Americans died from a drug overdose death involving an opioid. Early surveillance studies have observed large variations in opioid-involved overdose deaths among different geographic regions and racial/ethnic groups. The purpose of this study was to characterize trends in racial/ethnic opioid-involved overdose deaths across metropolitan and non-metropolitan areas in the United States from 1999 to 2017.
Methods: The analysis used National Vital Statistics System data from 1999 to 2017 that were accessed through the CDC WONDER online database. Drug overdose deaths involving any opioid were identified using the International Classification of Diseases, Tenth Revision, codes and were represented as age-adjusted rates per 100,000 population. Joinpoint regression was used to examine trends in opioid-involved overdose deaths among racial/ethnic groups (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic other) by metropolitan and non-metropolitan status (large metropolitan areas, medium-small metropolitan areas, and non-metropolitan areas).
Results: The annual age-adjusted death rates for drug overdose deaths that involved any opioid significantly increased for all racial/ethnic groups in metropolitan and non-metropolitan areas from 1999 to 2017. The largest average annual increases in rates occurred among non-Hispanic whites in non-metropolitan areas (13.6% increase per year) and medium-small metropolitan areas (12.3% increase per year), followed by non-Hispanic blacks in medium-small metropolitan areas (11.3% increase per year).
Conclusions: The variations in opioid-involved overdose deaths among different racial/ethnic groups across geographic regions support the existence of multiple sub-epidemics in the current opioid overdose crisis and provide directions for targeted intervention efforts.
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http://dx.doi.org/10.1016/j.drugalcdep.2020.108059 | DOI Listing |
Behav Pharmacol
December 2024
Department of Neural and Behavioral Sciences.
Opioid use disorder (OUD) is a crisis in the USA. Despite advances with medications for OUD, overdose deaths have continued to rise and are largely driven by fentanyl. We have previously found that male rats readily self-administer fentanyl, with evident individual differences in fentanyl taking, seeking, and reinstatement behaviors.
View Article and Find Full Text PDFLab Anim
December 2024
Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden.
For over 40 years, ivermectin has served as an effective anti-parasitic drug used in human and veterinary medicine. In laboratory animal facilities it is used prophylactically or therapeutically to maintain the health status of the colony or experimentally in studies. Although ivermectin is generally safe to use, there are reports of neurotoxicity associated with ivermectin crossing the blood-brain barrier due to overdosing or blood-brain barrier dysfunction.
View Article and Find Full Text PDFPublic Health Rep
December 2024
MGH Institute for Technology Assessment, Harvard Medical School, Boston, MA, USA.
Objectives: Yearly rolling aggregate trends or rates are commonly used to analyze trends in overdose deaths, but focusing on long-term trends can obscure short-term fluctuations (eg, daily spikes). We analyzed data on spikes in daily fatal overdoses and how various spike detection thresholds influence the identification of spikes.
Materials And Methods: We used a spike detection algorithm to identify spikes among 16 660 drug-related overdose deaths (from any drug) reported in Massachusetts' vital statistics from 2017 through 2023.
Ann Epidemiol
December 2024
Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168(th) St, New York, NY, 10032 United States. Electronic address:
Purpose: Most drug-related deaths in the United States (US) in 2022 involved opioids. However, methodological challenges in overdose surveillance may contribute to underestimation of opioid involvement in the overdose crisis. This scoping review aimed to synthesize existing literature to examine the breadth and contributing sources of misclassification of opioid-related overdose deaths.
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