Home > Psychodynamic therapies for the treatment of substance addictions: a prisma meta-analysis.

Zuccon, Marco and Topino, Eleonora and Musetti, Alessandro and Gori, Alessio (2023) Psychodynamic therapies for the treatment of substance addictions: a prisma meta-analysis. Journal of Personalized Medicine, 13, (10), 1469. doi: 10.3390/jpm13101469.

External website: https://www.mdpi.com/2075-4426/13/10/1469

The aim of this meta-analysis was to compare psychodynamic with other treatments in studies of substance addiction. The literature search was conducted using the PubMed, Web of Science, Cohcrane library, SCOPUS, and Onesearch databases. All studies comparing psychodynamic therapy with other types of psychological interventions for Substance Use Disorder were eligible. Three outcomes were considered to compare intervention performance: substance use, participation in treatment and other symptomatic conditions (OSCs). Hedges' G was used to measure effect size. The Revised Cochrane Risk of Bias tool for randomized trials was used to assess quality of evidence and possible bias, Egger regression analyses for publication bias, and Q and I-square statistics were used to assess heterogeneity. The alcohol group showed no differences between treatments on the three outcomes. The cocaine group showed no significant differences in the two outcomes, while for OSCs, available data was insufficient. The opioids group showed small but significant differences regarding participation in favor of non-psychodynamic interventions and no significant results for other outcomes. Based on the three measures of recovery considered in this meta-analysis, psychodynamic interventions were shown to be as effective as other psychological treatments in treating substance dependence and proved to be an empirically-supported treatment for the above addictions.


Item Type
Article
Publication Type
International, Open Access, Review, Article
Drug Type
All substances
Intervention Type
Treatment method, Psychosocial treatment method
Date
7 October 2023
Identification #
doi: 10.3390/jpm13101469
Volume
13
Number
10
EndNote

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