2022
DOI: 10.3390/brainsci12070957
|View full text |Cite
|
Sign up to set email alerts
|

Predicting Relapse in Substance Use: Prospective Modeling Based on Intensive Longitudinal Data on Mental Health, Cognition, and Craving

Abstract: Patients with severe substance use disorders are often characterized by neurocognitive impairments and elevated mental health symptom load, typically associated with craving intensity and substance use relapse. There is a need to improve the predictive capabilities of when relapse occurs in order to improve substance use treatment. The current paper contains data from 19 patients (seven females) in a long-term inpatient substance use treatment setting over the course of several weeks, with up to three weekly d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 37 publications
(48 reference statements)
0
3
0
Order By: Relevance
“…In identifying effective outcome predictors, it is therefore important to consider the potential distinctions in the trajectories of short and long-term recovery. Psychometric and behavioral measures including goal-directed thinking 20,21 , impulsivity 22 , and behavioral flexibility 23 have previously demonstrated predictive efficacy in individuals receiving treatment for SUD; compared to traditional clinical and demographic variables, these cognitive measures are better predictors of future drug use and treatment retention at both shorter (<six months) [24][25][26] and longer (≥six months) 27,28 intervals, supporting further investigation of such brain function measures.…”
Section: Introductionmentioning
confidence: 93%
“…In identifying effective outcome predictors, it is therefore important to consider the potential distinctions in the trajectories of short and long-term recovery. Psychometric and behavioral measures including goal-directed thinking 20,21 , impulsivity 22 , and behavioral flexibility 23 have previously demonstrated predictive efficacy in individuals receiving treatment for SUD; compared to traditional clinical and demographic variables, these cognitive measures are better predictors of future drug use and treatment retention at both shorter (<six months) [24][25][26] and longer (≥six months) 27,28 intervals, supporting further investigation of such brain function measures.…”
Section: Introductionmentioning
confidence: 93%
“…There are many mechanisms through which drugs and alcohol can have negative effects on the normal functioning of the brain. These include disturbing nutrient distribution to brain tissue, direct cellular damage, altered chemical homeostasis of the brain, and hypoxia [ 38 , 39 ].…”
Section: Acquired Brain Injury and Its Typesmentioning
confidence: 99%
“…The probability of relapse to SUDs is predicted by craving and mental distress, among other factors. Substance cravings are shown to predict relapse after residential addiction treatment (Lauvsnes et al, 2022;Stohs et al, 2019;Vafaie & Kober, 2022). Moreover, mental distress, such as depression, anxiety, and stress, often serves as an antecedent to addictive behavior (Amendola et al, 2022;Hunt et al, 2020;Pascoe et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Researchers have characterized substance use disorders (SUDs) as chronic and relapsing, with up to 30% of individuals relapsing within the first year of attempted sobriety and 40%–60% in general (Lauvsnes et al., 2022). The probability of relapse to SUDs is predicted by craving and mental distress, among other factors.…”
Section: Introductionmentioning
confidence: 99%