Modeling the Dynamics of Addiction Relapse via the Double-Well Potential System

被引:0
作者
Fatimah, Haya [1 ]
Hunter, Michael D. [2 ]
Bornovalova, Marina A. [3 ]
机构
[1] Univ Notre Dame, Dept Psychol, Notre Dame, IN USA
[2] Penn State Univ, Dept Human Dev & Family Studies, University Pk, PA USA
[3] Univ S Florida, Dept Psychol, 4202 East Fowler Ave, PCD4118G, Tampa, FL 33620 USA
来源
JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE | 2025年 / 134卷 / 01期
关键词
addiction; substance use; relapse; dynamical systems model of relapse; ALCOHOL TREATMENT; DRINKING; PREVENTION; COMPLEXITY; REMISSION; EFFICACY; ISSUES;
D O I
10.1037/abn0000960
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Substance use relapse is difficult to define, and previous work has used one-size-fits-all ad hoc definitions. Researchers have called for a dynamic and personalized understanding of relapse as a concept and model, necessitating novel statistical tools. We aimed to develop and validate a novel statistical model of latent relapse processes: the double-well potential model (DWPM). This model describes posttreatment substance use in terms of a dynamical system with stable equilibria of abstinence and relapse, person-specific dominant equilibria (tilt), the ease of changing between equilibria (steepness), and an overall relapse risk (RR). Using timeline follow-back data from N = 139 adults with a substance use disorder transitioning back to the community after residential treatment, we examined individual differences and the criterion-related validity of DWPM parameters to determine the clinical utility of the double-well model. While nonuse was the predominant stable state across participants, we found significant between-subjects variability steepness and RR. These individual differences were predictable via demographics, baseline psychopathology, treatment history, and treatment condition. Steepness and RR also predicted long-term outcomes, including life satisfaction and criminal behavior, above and beyond traditional metrics of relapse (proportion of days used and time to first use). Thus, the DWPM is a strong theoretical and statistical representation of the underlying relapse processes. Moreover, the parameters show criterion-related validity and may be useful in precision medicine.
引用
收藏
页码:69 / 80
页数:12
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