Opioid and Amphetamine Treatment Trends Among American Indians in the Great Plains
| Autor: | J. Janet Ho, Matthew Tobey, Sean Jackson, Julian A Mitton |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Population
01 natural sciences 03 medical and health sciences Underserved Population 0302 clinical medicine Medicine Humans Pharmacology (medical) 030212 general & internal medicine 0101 mathematics Amphetamine education American Indian or Alaska Native education.field_of_study business.industry 010102 general mathematics Nebraska medicine.disease Mental health United States Rate of increase Substance abuse Analgesics Opioid Psychiatry and Mental health Opioid Indians North American Substance use business Demography medicine.drug |
| Zdroj: | Journal of addiction medicine. 14(4) |
| ISSN: | 1935-3227 |
| Popis: | OBJECTIVES Traditionally underserved populations in the United States, particularly rural and American Indian/Alaska Native (AI/AN) communities, are disproportionately impacted by the opioid and amphetamine epidemics and have a higher risk for substance use disorders. AI/AN communities in the American Great Plains face exceptional health risks. We aim to describe recent trends in opioid and amphetamine treatment admissions for AI/ANs living in the Great Plains relative to that of the general population. METHODS We used data from the 2014 to 2016 Substance Abuse and Mental Health Services Administration (SAMHSA) Drug and Alcohol Services Information System (DASIS) Treatment Episode Data Set (TEDS) for Admissions. We extracted opioid and amphetamine treatment admissions for self-identified AI/AN and non-AI/AN patients living in the Great Plains: North Dakota, South Dakota, Nebraska, and Iowa. Average annual admission rates were calculated and compared from 2014 to 2016 for AI/AN versus non-AI/AN populations. RESULTS While opioid and amphetamine treatment admissions from 2014 to 2016 increased in both AI/AN (49 vs 80 per 10,000) and non-AI/AN (20 vs 26 per 10,000) populations, the rate of increase was significantly greater among AI/ANs (64% vs 32%; P |
| Databáze: | OpenAIRE |
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