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Mediational pathways among drug use initiation, use-related consequences, and quit attempts.
Sogbesan, Adura; Lenz, Danielle; Lister, Jamey J; Lundahl, Leslie H; Greenwald, Mark K; Woodcock, Eric A.
Afiliação
  • Sogbesan A; Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
  • Lenz D; Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
  • Lister JJ; Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
  • Lundahl LH; School of Social Work, Rutgers University, New Brunswick, NJ, USA.
  • Greenwald MK; Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
  • Woodcock EA; Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
Drug Alcohol Depend Rep ; 11: 100229, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38638305
ABSTRACT

Background:

Factors that predict attempts to discontinue drug use are clinically relevant and may inform treatment. This study investigated drug use-related consequences as a predictor of drug quit attempts and treatment seeking among two cohorts of persons who use drugs.

Methods:

Drug use and clinical characteristics were assessed among persons who use cocaine (N=176; urine-verified; 'Cocaine Cohort') and among those who use heroin (N=166; urine-verified; 'Heroin Cohort'). Mediation analyses assessed relationships among age at initial drug use, adverse drug-specific use-related consequences, and drug-specific quit attempts, separately for each cohort. Forward conditional logistic regression models evaluated drug use and clinical symptom scores as predictors of drug-specific treatment seeking.

Results:

Controlling for age, mediation models showed that drug use consequences fully mediated the relationship between age at initial drug use and number of drug-specific quit attempts for the 'Cocaine Cohort' and 'Heroin Cohort' (R2=0.30, p<.001; R2=0.17, p<.001; respectively). Reporting more consequences predicted more quit attempts in each cohort, accounting for duration of use (ps<.001). Reporting more consequences also predicted greater likelihood of seeking drug use treatment (ps<.001) and was associated with more severe clinical symptoms in each cohort (ps<.05).

Conclusions:

Using a parallel analysis design, we showed that reporting more drug-specific use-related consequences predicted more drug-specific quit attempts and greater likelihood to seek treatment in two cohorts persons who use cocaine and those who use heroin. Our findings suggest that experiencing more drug use consequences predicts more attempts to seek drug abstinence and that assessment of consequences may be informative for treatment.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article