Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment
Introduction: While polysubstance use has consistently been associated with higher rates of relapse, few studies have examined subgroups with specific combinations and time course of polysubstance use (i.e., polysubstance use patterns). This study aimed to classify and compare polysubstance use patt...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Drug and Alcohol Dependence Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772724622001032 |
| _version_ | 1811199594266099712 |
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| author | Yue Pan Daniel J. Feaster Gabriel Odom Laura Brandt Mei-Chen Hu Roger D. Weiss John Rotrosen Andrew J. Saxon Sean X. Luo Raymond R. Balise |
| author_facet | Yue Pan Daniel J. Feaster Gabriel Odom Laura Brandt Mei-Chen Hu Roger D. Weiss John Rotrosen Andrew J. Saxon Sean X. Luo Raymond R. Balise |
| author_sort | Yue Pan |
| collection | DOAJ |
| description | Introduction: While polysubstance use has consistently been associated with higher rates of relapse, few studies have examined subgroups with specific combinations and time course of polysubstance use (i.e., polysubstance use patterns). This study aimed to classify and compare polysubstance use patterns, and their associations with relapse to regular opioid use in 2637 participants in three large opioid use disorder (OUD) treatment trials. Methods: We explored the daily patterns of self-reported substance use in the 28 days prior to treatment entry. Market basket analysis (MBA) and repeated measure latent class analysis (RMLCA) were used to examine the subgroups of polysubstance use patterns, and multiple logistic regression was used to examine associations between identified classes and relapse. Results: MBA and RMLCA identified 34 “associations rules” and 6 classes, respectively. Specific combinations of polysubstance use and time course (high baseline use and rapid decrease of use prior to initiation) predicts a worse relapse outcome. MBA showed individuals who co-used cocaine, heroin, prescription opioids, and cannabis had a higher risk for relapse (OR = 2.82, 95%CI = 1.13, 7.03). In RMLCA, higher risk of relapse was observed in individuals who presented with high baseline prescription opioid (OR = 1.9, 95% CI = 1.3, 2.76) or heroin use (OR = 3.54, 95%CI = 1.86, 6.72), although use decreased in both cases prior to treatment initiation. Conclusions: Our analyses identified subgroups with distinct patterns of polysubstance use. Different patterns of polysubstance use differentially predict relapse outcomes. Interventions tailored to these individuals with specific polysubstance use patterns prior to treatment initiation may increase the effectiveness of relapse prevention. |
| first_indexed | 2024-04-12T01:50:12Z |
| format | Article |
| id | doaj.art-2b4c9d48deed494cbd8aaf57be86372e |
| institution | Directory Open Access Journal |
| issn | 2772-7246 |
| language | English |
| last_indexed | 2024-04-12T01:50:12Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Drug and Alcohol Dependence Reports |
| spelling | doaj.art-2b4c9d48deed494cbd8aaf57be86372e2022-12-22T03:52:57ZengElsevierDrug and Alcohol Dependence Reports2772-72462022-12-015100128Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatmentYue Pan0Daniel J. Feaster1Gabriel Odom2Laura Brandt3Mei-Chen Hu4Roger D. Weiss5John Rotrosen6Andrew J. Saxon7Sean X. Luo8Raymond R. Balise9Department of Public Health Sciences, Division of Biostatistics, University of Miami, Office 1023, 1120 NW 14th St, Miami, FL 33136, USA; Corresponding author.Department of Public Health Sciences, Division of Biostatistics, University of Miami, Office 1023, 1120 NW 14th St, Miami, FL 33136, USADepartment of Biostatistics, Florida International University, USADepartment of Psychology, The City College of New York, USADepartment of Psychiatry, Columbia University, USADepartment of Psychiatry, Harvard Medical School, Boston, and McLean Hospital, USADepartment of Psychiatry, NYU Grossman School of Medicine, USADepartment of Psychiatry and Behavioral Sciences, University of Washington, USADepartment of Psychiatry, Columbia University, USADepartment of Public Health Sciences, Division of Biostatistics, University of Miami, Office 1023, 1120 NW 14th St, Miami, FL 33136, USAIntroduction: While polysubstance use has consistently been associated with higher rates of relapse, few studies have examined subgroups with specific combinations and time course of polysubstance use (i.e., polysubstance use patterns). This study aimed to classify and compare polysubstance use patterns, and their associations with relapse to regular opioid use in 2637 participants in three large opioid use disorder (OUD) treatment trials. Methods: We explored the daily patterns of self-reported substance use in the 28 days prior to treatment entry. Market basket analysis (MBA) and repeated measure latent class analysis (RMLCA) were used to examine the subgroups of polysubstance use patterns, and multiple logistic regression was used to examine associations between identified classes and relapse. Results: MBA and RMLCA identified 34 “associations rules” and 6 classes, respectively. Specific combinations of polysubstance use and time course (high baseline use and rapid decrease of use prior to initiation) predicts a worse relapse outcome. MBA showed individuals who co-used cocaine, heroin, prescription opioids, and cannabis had a higher risk for relapse (OR = 2.82, 95%CI = 1.13, 7.03). In RMLCA, higher risk of relapse was observed in individuals who presented with high baseline prescription opioid (OR = 1.9, 95% CI = 1.3, 2.76) or heroin use (OR = 3.54, 95%CI = 1.86, 6.72), although use decreased in both cases prior to treatment initiation. Conclusions: Our analyses identified subgroups with distinct patterns of polysubstance use. Different patterns of polysubstance use differentially predict relapse outcomes. Interventions tailored to these individuals with specific polysubstance use patterns prior to treatment initiation may increase the effectiveness of relapse prevention.http://www.sciencedirect.com/science/article/pii/S2772724622001032Polysubstance useOpioid use disorderMarket basketRepeated latent class analysisOpioidsCocaine |
| spellingShingle | Yue Pan Daniel J. Feaster Gabriel Odom Laura Brandt Mei-Chen Hu Roger D. Weiss John Rotrosen Andrew J. Saxon Sean X. Luo Raymond R. Balise Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment Drug and Alcohol Dependence Reports Polysubstance use Opioid use disorder Market basket Repeated latent class analysis Opioids Cocaine |
| title | Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment |
| title_full | Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment |
| title_fullStr | Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment |
| title_full_unstemmed | Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment |
| title_short | Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment |
| title_sort | specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment |
| topic | Polysubstance use Opioid use disorder Market basket Repeated latent class analysis Opioids Cocaine |
| url | http://www.sciencedirect.com/science/article/pii/S2772724622001032 |
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