Receipt of medications for opioid use disorder among rural and urban veterans health administration patients Article Swipe
O.W. REYNOLDS
,
Kathleen F. Carlson
,
Adam J. Gordon
,
Robert Handley
,
Benjamin J. Morasco
,
P. Todd Korthuis
,
Travis I. Lovejoy
,
Jessica J. Wyse
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.dadr.2024.100311
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.dadr.2024.100311
Rural VA patients have a lower likelihood of receiving methadone and naltrexone for OUD treatment relative to urban patients, but greater likelihood of receiving buprenorphine. Continued work is needed to ensure that rural Veterans have equitable access to the most appropriate medication for their health care needs.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.dadr.2024.100311
- OA Status
- gold
- Cited By
- 1
- References
- 54
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4405356014Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.dadr.2024.100311Digital Object Identifier
- Title
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Receipt of medications for opioid use disorder among rural and urban veterans health administration patientsWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-12-13Full publication date if available
- Authors
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O.W. REYNOLDS, Kathleen F. Carlson, Adam J. Gordon, Robert Handley, Benjamin J. Morasco, P. Todd Korthuis, Travis I. Lovejoy, Jessica J. WyseList of authors in order
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https://doi.org/10.1016/j.dadr.2024.100311Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.dadr.2024.100311Direct OA link when available
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Receipt, Administration (probate law), Opioid use disorder, Medicine, Opioid, Family medicine, Business, Political science, Internal medicine, Law, Receptor, AccountingTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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