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Using prescribing and toxicology data to determine non-medical prescription drug overdose.
Huynh, Philip; Victor, Grant; Ray, Brad.
Afiliación
  • Huynh P; Center for Behavioral Health and Justice at Wayne State University, Detroit, MI, United States.
  • Victor G; Center for Behavioral Health and Justice at Wayne State University, Detroit, MI, United States.
  • Ray B; Center for Behavioral Health and Justice at Wayne State University, Detroit, MI, United States.
Addict Behav Rep ; 12: 100289, 2020 Dec.
Article en En | MEDLINE | ID: mdl-32637565
BACKGROUND: Overdose deaths have increased dramatically in the United States and are often attributed to prescription opioids. This study presents a framework for "overdose typologies", including non-medical prescription drug use, to more accurately describe drug use patterns. METHODS: This study examined linked prescription drug monitoring program (PDMP) and toxicology data (2016-2018) from accidental overdose deaths from a large metropolitan coroner's office in the Midwest (Indianapolis, Indiana). RESULTS: In total, 1,112 accidental overdose deaths occurred and over two-thirds (68.0%; n = 756) were coded as an illicit drug user with no prescription opioid present in the toxicology. The most infrequent categories were prescription opioid users 5.5% (n = 61). CONCLUSION: Linked PDMP and toxicology reports are useful in identifying drug use patterns that contribute to mortality.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Addict Behav Rep Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Addict Behav Rep Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos