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Polysubstance addiction patterns among 7,989 individuals with cocaine use disorder

Authors :
Brendan Stiltner
Robert H. Pietrzak
Daniel S. Tylee
Yaira Z. Nunez
Keyrun Adhikari
Henry R. Kranzler
Joel Gelernter
Renato Polimanti
Source :
iScience, Vol 26, Iss 8, Pp 107336- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: To characterize polysubstance addiction (PSA) patterns of cocaine use disorder (CoUD), we performed a latent class analysis (LCA) in 7,989 participants with a lifetime DSM-5 diagnosis of CoUD. This analysis identified three PSA subgroups among CoUD participants (i.e., low, 17%; intermediate, 38%; high, 45%). While these subgroups varied by age, sex, and racial-ethnic distribution (p 0.05). After accounting for sex, age, and race-ethnicity, the CoUD subgroup with high PSA had higher odds of antisocial personality disorder (OR = 21.96 vs. 6.39, difference-p = 8.08✕10−6), agoraphobia (OR = 4.58 vs. 2.05, difference-p = 7.04✕10−4), mixed bipolar episode (OR = 10.36 vs. 2.61, difference-p = 7.04✕10−4), posttraumatic stress disorder (OR = 11.54 vs. 5.86, difference-p = 2.67✕10−4), antidepressant medication use (OR = 13.49 vs. 8.02, difference-p = 1.42✕10−4), and sexually transmitted diseases (OR = 5.92 vs. 3.38, difference-p = 1.81✕10−5) than the low-PSA CoUD subgroup. These findings underscore the importance of modeling PSA severity and comorbidities when examining the clinical, molecular, and neuroimaging correlates of CoUD.

Details

Language :
English
ISSN :
25890042
Volume :
26
Issue :
8
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.2aecbf616f04aa380ab9bbc556c6079
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2023.107336