Generating Timely Estimates of Overdose Deaths for the US Using Urine Drug Test Data

In this cross-sectional study, findings suggested that aggregated UDT data may be used to estimate up-to-date overdose death trends. Model implementation can be improved by introducing additional exposure variables, such as those related to drug seizures and syndromic surveillance.

Authors

Charles Marks (ORCID: https://orcid.org/0000-0002-3893-1914)
Penn Whitley
Neena Thomas
Naleef Fareed (ORCID: https://orcid.org/0000-0001-8764-1625)
J.H. Kim (ORCID: https://orcid.org/0000-0001-8031-2781)
J. Myers (ORCID: https://orcid.org/0000-0003-4874-6066)
Soledad Fernández

Institutions

Millennium Engineering and Integration (United States) (US)
The Ohio State University (US)

Publication Details

Journal: JAMA Network Open
Published: 2025-06-09
DOI: https://doi.org/10.1001/jamanetworkopen.2025.14402
Citations: 2
Primary Topic: Opioid Use Disorder Treatment
Type: article
Field-Weighted Citation Impact: 3.76

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article

Generating Timely Estimates of Overdose Deaths for the US Using Urine Drug Test Data

Charles Marks, Penn Whitley, Neena Thomas, Naleef Fareed et al.

Jun 9, 2025

2 citations

JAMA Network Open

Opioid Use Disorder Treatment

3.76

article

Generating Timely Estimates of Overdose Deaths for the US Using Urine Drug Test Data

Charles Marks, Penn Whitley, Neena Thomas, Naleef Fareed, J.H. Kim, J. Myers, Soledad Fernández

June 9, 2025article en

2 citations

Abstract

In this cross-sectional study, findings suggested that aggregated UDT data may be used to estimate up-to-date overdose death trends. Model implementation can be improved by introducing additional exposure variables, such as those related to drug seizures and syndromic surveillance.

JAMA Network OpenVol. 8(6)

Millennium Engineering and Integration (United States) (US), The Ohio State University (US)

Good health and well-being

Openalex Percentile: Top 7%

Opioid Use Disorder Treatment

3.76

DOI Open Access PDF OpenAlex

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