Using ecological momentary assessments of negative affect and craving during residential opioid use disorder treatment to predict patients' relapse to substance use

被引:2
|
作者
Cleveland, H. Harrington [1 ,6 ]
Knapp, Kyler S. [1 ,2 ]
Cleveland, Michael J. [3 ]
Deneke, Erin [4 ]
Bunce, Scott C. [5 ]
机构
[1] Penn State Univ, Dept Human Dev & Family Studies, University Pk, PA USA
[2] Penn State Univ, Edna Bennett Pierce Prevent Res Ctr, University Pk, PA USA
[3] Washington State Univ, Dept Human Dev, Pullman, WA 99164 USA
[4] Caron Treatment Ctr, Wernersville, PA USA
[5] Penn State Univ, Dept Psychiat, Hershey, PA USA
[6] 110 Hlth & Human Dev Bldg, University Pk, PA 16802 USA
关键词
Opioid use disorder; Residential treatment; Craving; Affect; Substance use relapse; Ecological momentary assessment; Survival analysis; DAILY STRESSORS; ALCOHOL; REACTIVITY; COCAINE; MODEL; MOOD; ASSOCIATIONS; INDIVIDUALS; EFFICACY;
D O I
10.1016/j.josat.2022.208931
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Background: Negative affect (NA) and craving are often independently examined as precipitators of relapse among individuals with substance use disorders, including opioid use disorder (OUD). Recent ecological momentary assessment (EMA) research has revealed that NA and craving frequently co-occur within individuals. Yet we know little about the general patterns of, and variability in, within-person associations between NA and craving, as well as whether the nature and degree of within-person NA-craving coupling predicts post-treatment time-to-relapse. Methods: Seventy-three patients (77 % male, Mage = 30.10, Range = 19-61) in residential treatment for OUD took part in a 12-day, 4x daily smartphone-based EMA study. Linear mixed-effects models tested within-person, day level associations between self-reported NA and craving during treatment. The study used Person-specific slopes (i.e., average within-person NA-craving coupling for each participant) estimated from the mixed-effects model in survival analyses with Cox proportional hazards regression models to determine if between-person differences in the within-person coupling predicted post-treatment time-to-relapse (operationalized as the return to problematic use of any substance except tobacco), and whether this prediction was similar across patients' average levels of NA and craving intensity. The study monitored relapse through a combination of hair samples and reports from patients or alternative contacts via a voice response system twice a month for up to 120 days or more following discharge. Results: Among the 61 participants with time-to-relapse data, those with stronger positive within-person NA craving coupling on average during residential OUD treatment had a lower hazard of relapsing (slower time to relapse) post-treatment than participants with weaker NA-craving slopes. The significant association held after controlling for interindividual differences in age, sex, and average levels of NA and craving intensity. Average NA and craving intensity did not moderate the association between NA-craving coupling and time-to-relapse. Conclusions: Interindividual differences in average within-person, day-level NA-craving coupling during residential treatment predict OUD patients' post-treatment time-to-relapse.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] CRAVING, PTSD, AND DEPRESSION SYMPTOMOLOGY IN CO-OCCURRING SUBSTANCE USE DISORDER AND PTSD RESIDENTIAL TREATMENT
    Lyons, R.
    Haller, M.
    Colvonen, P. J.
    Davis, B. C.
    Norman, S. B.
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2017, 41 : 178A - 178A
  • [22] Using Machine Learning to Predict Treatment Adherence in Patients on Medication for Opioid Use Disorder
    Burgess-Hull, Albert J. J.
    Brooks, Caleb
    Epstein, David H. H.
    Gandhi, Devang
    Oviedo, Enrique
    JOURNAL OF ADDICTION MEDICINE, 2023, 17 (01) : 28 - 34
  • [23] The association between pain, negative affect, and craving in people with alcohol use disorder at treatment entry
    Gilmour, C.
    Blaes, S.
    Lewis, B.
    Teitelbaum, S.
    Boissoneault, J.
    ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, 2023, 47 : 336 - 336
  • [24] Is residential treatment effective for opioid use disorders? A longitudinal comparison of treatment outcomes among opioid dependent, opioid misusing, and non-opioid using emerging adults with substance use disorder
    Schuman-Olivier, Zev
    Greene, M. Claire
    Bergman, Brandon G.
    Kelly, John F.
    DRUG AND ALCOHOL DEPENDENCE, 2014, 144 : 178 - 185
  • [25] Laboratory-induced stress and craving predict opioid use during follow-up among individuals with prescription opioid use disorder
    Saraiya, Tanya C.
    Jarnecke, Amber M.
    Jones, Jennifer
    Brown, Delisa G.
    Brady, Kathleen T.
    Back, Sudie E.
    DRUG AND ALCOHOL DEPENDENCE, 2021, 225
  • [26] Daily meaningfulness among patients with opioid use disorder: Examining the role of social experiences during residential treatment and links with post-treatment relapse
    Knapp, Kyler S.
    Brick, Timothy R.
    Bunce, Scott C.
    Deneke, Erin
    Cleveland, H. Harrington
    ADDICTIVE BEHAVIORS, 2021, 119
  • [27] Predictors of substance use during treatment for addiction: A network analysis of ecological momentary assessment data
    Serre, Fuschia
    Gauld, Christophe
    Lambert, Laura
    Baillet, Emmanuelle
    Beltran, Virginie
    Daulouede, Jean-Pierre
    Micoulaud-Franchi, Jean-Arthur
    Auriacombe, Marc
    ADDICTION, 2025, 120 (01) : 48 - 58
  • [28] Differences in eating disorder symptoms and affect regulation for residential eating disorder patients with problematic substance use
    Megan L. Michael
    Adrienne Juarascio
    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 2020, 25 : 1805 - 1811
  • [29] Differences in eating disorder symptoms and affect regulation for residential eating disorder patients with problematic substance use
    Michael, Megan L.
    Juarascio, Adrienne
    EATING AND WEIGHT DISORDERS-STUDIES ON ANOREXIA BULIMIA AND OBESITY, 2020, 25 (06) : 1805 - 1811
  • [30] Specific polysubstance use patterns predict relapse among patients entering use disorder treatment
    Pan, Yue
    Feaster, Daniel J.
    Odom, Gabriel
    Brandt, Laura
    Hu, Mei-Chen
    Weiss, Roger D.
    Rotrosen, John
    Saxon, Andrew J.
    Luo, Sean X.
    Balise, Raymond R.
    DRUG AND ALCOHOL DEPENDENCE REPORTS, 2022, 5