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Digital Biomarker Applications Across the Spectrum of Opioid Use Disorder.
Rigatti, Marc; Chapman, Brittany; Chai, Peter R; Smelson, David; Babu, Kavita; Carreiro, Stephanie.
Afiliación
  • Rigatti M; Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.
  • Chapman B; Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.
  • Chai PR; Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA.
  • Smelson D; Department of Psychiatry, UMass Chan Medical School, Worcester, MA, USA.
  • Babu K; Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.
  • Carreiro S; Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.
Cogent Ment Health ; 2(1)2023.
Article en En | MEDLINE | ID: mdl-37546179
Opioid use disorder (OUD) is one of the most pressing public health problems of the past decade, with over eighty thousand overdose related deaths in 2021 alone. Digital technologies to measure and respond to disease states encompass both on- and off-body sensors. Such devices can be used to detect and monitor end-user physiologic or behavioral measurements (i.e. digital biomarkers) that correlate with events of interest, health, or pathology. Recent work has demonstrated the potential of digital biomarkers to be used as a tools in the prevention, risk mitigation, and treatment of opioid use disorder (OUD). Multiple physiologic adaptations occur over the course of opioid use, and represent potential targets for digital biomarker based monitoring strategies. This review explores the current evidence (and potential) for digital biomarkers monitoring across the spectrum of opioid use. Technologies to detect opioid administration, withdrawal, hyperalgesia and overdose will be reviewed. Driven by empirically derived algorithms, these technologies have important implications for supporting the safe prescribing of opioids, reducing harm in active opioid users, and supporting those in recovery from OUD.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cogent Ment Health Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cogent Ment Health Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos