The use of cellphone based automated pupillometry to quantify opioid withdrawal in patients receiving treatment for opioid use disorder

These findings suggest that pupillometry measures may be superior to commonly used self-report measures for assessing withdrawal in the context of MOUD for OUD.

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Publication Details

Journal
Journal of Substance Use and Addiction Treatment
Published
2026-02-25
DOI
https://doi.org/10.1016/j.josat.2026.209927
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

The use of cellphone based automated pupillometry to quantify opioid withdrawal in patients receiving treatment for opioid use disorder

David A. MacQueen, Kayla Vigilante, Christopher J. Evonko, Richard S. Pond et al.
Journal of Substance Use and Addiction Treatment
Opioid Use Disorder Treatment
article

The use of cellphone based automated pupillometry to quantify opioid withdrawal in patients receiving treatment for opioid use disorder

David A. MacQueen, Kayla Vigilante, Christopher J. Evonko, Richard S. Pond, Eric G. Van Leuven, Wendy D. Washington, Matthew W. Chaney, Nathan B. Leli, Jake D. Ludington
article en

Abstract

These findings suggest that pupillometry measures may be superior to commonly used self-report measures for assessing withdrawal in the context of MOUD for OUD.

Journal of Substance Use and Addiction TreatmentVol. 185
University of North Carolina Wilmington (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 46%
Opioid Use Disorder Treatment
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