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. 2024 Oct 7:18:29768357241274483.
doi: 10.1177/29768357241274483. eCollection 2024 Jan-Dec.

Association Between Patient-Level Factors and Positive Treatment Response Among Individuals With a Psychostimulant Use Disorder: A Cross-Sectional Study

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Association Between Patient-Level Factors and Positive Treatment Response Among Individuals With a Psychostimulant Use Disorder: A Cross-Sectional Study

Dana Abulez et al. Subst Use. .

Abstract

Objectives: The purpose of this study was to provide insights into which patient-level characteristics are associated with a positive treatment response among patients whose primary drug of choice was a psychostimulant with a particular emphasis on understanding the impact of age at first use and co-occurring psychiatric comorbidities.

Methods: We used a cross-sectional study design and the 2019 US Treatment Episode Data Set: Discharges (n = 167 802) to identify outpatient treatment episodes for which the primary drug of choice was a psychostimulant. We defined a positive treatment response as (1) a reduction in drug use between treatment admission and discharge or (2) no use at both admission and discharge. Multivariable logistic regression was conducted, overall and stratified by presence of psychiatric comorbidity, to identify demographic, clinical, and treatment-level factors associated with positive treatment response.

Results: Treatment episodes among patients 11 years and under at the time of first use had a 22% higher odds of having a positive response to treatment as compared to those treatment episodes in which the person was 30 years or older at the time of first use. The presence of psychiatric comorbidity resulted in substantial differences in direction and magnitude of the relationships between treatment response and covariates. Positive response to treatment was less likely for episodes among Non-Hispanic Black/African American persons, in detoxification settings, for unemployed individuals, or for individuals living in the South, but a positive response was more likely for episodes occurring in rehabilitation/residential settings.

Conclusions: Race/ethnicity, geographic region, treatment setting, and employment status were the strongest predictors of response to treatment. Treatment programs should maximize treatment of psychiatric conditions, intensify support for persons of color seeking treatment in detoxification settings, and increase efforts to find adequate employment for patients.

Keywords: Psychostimulants; addiction; age at first use; psychiatric comorbidity; substance use disorder.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Forest plot of the results of the multiple logistic regression model with outcome as response to treatment.
Figure 2.
Figure 2.
Forest plot of the results of the multiple logistic regression models with outcome as response to treatment, stratified by psychiatric comorbidity.

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