Why the study?
Opioid use disorder is a major public health crisis, and digital biomarkers measuring physiologic or behavioral changes offer potential tools for prevention, risk mitigation, and treatment across the spectrum of opioid use.
Can digital biomarkers be used to detect and monitor physiologic adaptations across the spectrum of opioid use disorder?
Can digital biomarkers be used to detect and monitor physiologic adaptations across the spectrum of opioid use disorder?
Digital biomarkers offer potential for monitoring and managing opioid use disorder across its spectrum, from safe prescribing to recovery.
May support OUD spectrum monitoring; leaves open prospective validation before clinical adoption.
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 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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Rigatti et al. (2023) studied this question.
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