Opioid dependence latent structure: two classes with differing severity?
- Authors
- Shand, Fiona L; Slade, Tim; Degenhardt, Louisa; Baillie, Andrew; Nelson, Elliot C
- Year
- 2011
- Journal
- Addiction (Abingdon, England)
- PMID
- 21134015
- DOI
- 10.1111/j.1360-0443.2010.03217.x
- PMCID
- PMC3465731
AIMS: To examine the structure of illicit opioid abuse and dependence within an opioid dependent sample and its relationship to other clinical variables. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional study of 1511 opioid dependent individuals recruited through opioid pharmacotherapy clinics in the Sydney area, Australia. MEASUREMENTS: A face-to-face structured interview covering substance use and dependence, psychiatric history, child maltreatment, family background, adult violence and criminal history. Dimensional, latent class and factor mixture models were fit to the opioid abuse and dependence data. Classes were then compared on a range of demographic and clinical covariates. FINDINGS: A two-class, one-factor model provided the best fit of all the models tested. The two classes differed with respect to endorsement probabilities on a range of abuse and dependence criteria, and also with respect to the odds of other drug dependence diagnoses, antisocial personality disorder and non-fatal opioid overdose. Within-class severity was associated with similar variables: other drug dependence, borderline personality disorder and opioid overdose. CONCLUSION: In an in-treatment, opioid-dependent sample, there appears to be two classes of individuals exhibiting distinct patterns of abuse and dependence criteria endorsement and to differ on externalizing but not internalizing disorders. This study provides preliminary evidence that the proposed DSM-V opioid use disorder distinction between moderate and severely dependent people is valid. Class one participants were not only more severely dependent, but had greater odds for opioid overdoses, other drug dependence and antisocial personality disorder.
| Name | Type |
|---|---|
| abuse and dependence criteria local | phenotype |
| addiction | phenotype |
| age | phenotype |
| alcohol | phenotype |
| alcohol abuse | phenotype |
| alcohol dependence | phenotype |
| antisocial personality disorder | phenotype |
| ASPD | phenotype |
| Australia | cohort |
| axis I disorder | phenotype |
| Axis II disorders | phenotype |
| behavioral disinhibition | phenotype |
| borderline personality disorder | phenotype |
| BPD | phenotype |
| cannabis dependence | phenotype |
| cannabis use | phenotype |
| cannabis use disorder | phenotype |
| Capacity to Comply with Treatment local | phenotype |
| Categorical model local | phenotype |
| childhood trauma | phenotype |
| Christchurch Health and Development Study | cohort |
| class 1 | cohort |
| class 2 | cohort |
| cocaine | phenotype |
| cognition | phenotype |
| Comorbidity and Trauma Study local | cohort |
| Conflict between parents local | phenotype |
| Continue local | phenotype |
| Criminal justice system involvement | phenotype |
| Cut down local | phenotype |
| demographics | phenotype |
| Dependence symptoms | phenotype |
| depression | phenotype |
| Dimensional model | phenotype |
| drug | drug |
| DSM-IV opioid abuse and dependence criteria local | phenotype |
| early substance use | phenotype |
| Externalizing dimensions local | phenotype |
| externalizing disorders | phenotype |
| general population sample | cohort |
| Give up local | phenotype |
| Harmful local | phenotype |
| Hazard local | phenotype |
| heavy drinking | phenotype |
| Heroin treatment history local | phenotype |
| Hybrid model local | phenotype |
| IDU local | cohort |
| internalizing disorders | phenotype |
| Latent severity trait local | phenotype |
| Legal local | phenotype |
| legal criterion | phenotype |
| legal problems | phenotype |
| Longer local | phenotype |
| major depressive disorder | phenotype |
| Moderate Dependence local | phenotype |
| moderate opioid dependence local | phenotype |
| mood disorders | phenotype |
| morphine | drug |
| nicotine | drug |
| nicotine dependence | phenotype |
| Non-fatal Opioid Overdoses local | phenotype |
| non-fatal overdose | phenotype |
| opioid | drug |
| opioid dependence | phenotype |
| Opioid dependence severity local | phenotype |
| Opioid dependent individuals local | phenotype |
| Opioid dependent participants local | cohort |
| opioid dependent sample local | cohort |
| Opioid dependent treatment sample local | cohort |
| opioid overdose | phenotype |
| Opioid pharmacotherapy clinics | cohort |
| Opioid replacement therapy (ORT) local | drug |
| Opioid users local | phenotype |
| Opioid use (times per day during heaviest period) local | phenotype |
| ORT clinics local | cohort |
| other drug use | phenotype |
| Other externalizing disorders local | phenotype |
| other substances | phenotype |
| overdose | phenotype |
| panic disorder | phenotype |
| Performance and Image Enhancing Drugs local | drug |
| personality disorders | phenotype |
| physical abuse | phenotype |
| Polydrug dependence local | phenotype |
| Polydrug Dependence local | phenotype |
| polysubstance abuse | phenotype |
| Poorer Functioning local | phenotype |
| Post-Traumatic Stress Disorder | phenotype |
| Problem solving | phenotype |
| psychosis | phenotype |
| Role local | phenotype |
| sedative dependence | phenotype |
| sedatives | drug |
| severe alcohol use disorder | phenotype |
| Severe dependence group local | cohort |
| severe opioid dependence local | phenotype |
| sex | phenotype |
| stimulant | drug |
| stimulant dependence | phenotype |
| stimulants | drug |
| study cohort | cohort |
| substance abuse | phenotype |
| substance use | phenotype |
| suicide | phenotype |
| time | phenotype |
| tobacco use | phenotype |
| tolerance | phenotype |
| treatment | phenotype |
| treatment samples | cohort |
| withdrawal | phenotype |
No uploaded files.
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990-2023: a Global Burden of Disease Study. | Kang J et al. | β | 2026 | β |
| Patient Profiles of Buprenorphine Initiators in General Healthcare Settings: A Latent Class Approach. | Grucza RA et al. | β | 2026 | β |
| Early Childhood Behavioral and Academic Antecedents of Lifetime Opioid Misuse among Urban Youth. | Rabinowitz JA et al. | β | 2022 | β |
| Problematic Opioid Use: A Scoping Literature Review of Profiles. | Archambault L et al. | β | 2022 | β |
| Utilizing social media to explore overdose and HIV/HCV risk behaviors among current opioid misusers. | Cavazos-Rehg P et al. | β | 2019 | β |
| The global burden of disease attributable to alcohol and drug use in 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. | GBD 2016 Alcohol and Drug Use Collaborators | β | 2018 | β |
| The latent trait of ICD-11 nicotine dependence criteria: Dimensional and categorical phenotypes. | Castaldelli-Maia JM et al. | β | 2018 | β |
| The long-term impact of post traumatic stress disorder on recovery from heroin dependence. | Mills KL et al. | β | 2018 | β |
| Effectiveness of treatment for opioid use disorder: A national, five-year, prospective, observational study in England. | Eastwood B et al. | β | 2017 | β |
| Pathways through opiate use and offending: A systematic review. | Hayhurst KP et al. | β | 2017 | β |
| Prescription opioid use disorder and heroin use among 12-34 year-olds in the United States from 2002 to 2014. | Martins SS et al. | β | 2017 | β |
| Trajectories of heroin use: 10-11-year findings from the Australian Treatment Outcome Study. | Teesson M et al. | β | 2017 | β |
| Latent class analysis of DSM-5 criteria for opioid use disorders: results from the Iranian National Survey on Mental Health. | Tarrahi MJ et al. | β | 2015 | β |
| Opioid withdrawal, craving, and use during and after outpatient buprenorphine stabilization and taper: a discrete survival and growth mixture model. | Northrup TF et al. | β | 2015 | β |
| Family-based association analysis of alcohol dependence criteria and severity. | Wetherill L et al. | β | 2014 | β |
| ANKK1, TTC12, and NCAM1 polymorphisms and heroin dependence: importance of considering drug exposure. | Nelson EC et al. | β | 2013 | β |
| Dose-related effects for the precipitation of psychopathology by opioid or tranquilizer/sedative nonmedical prescription use: results from the National Epidemiologic Survey on Alcohol and Related Conditions. | Schepis TS et al. | β | 2013 | β |
| Profiles of quality of life in opiate-dependent individuals after starting methadone treatment: a latent class analysis. | De Maeyer J et al. | β | 2013 | β |
| Analyses related to the development of DSM-5 criteria for substance use related disorders: 2. Proposed DSM-5 criteria for alcohol, cannabis, cocaine and heroin disorders in 663 substance abuse patients. | Hasin DS et al. | β | 2012 | β |
| Combining abuse and dependence in DSM-5. | Hasin DS | β | 2012 | β |
| Commentary on Shand et al. (2011): Opioid use disorder as a condition of graded severity, similar to other substance use disorders. | Hasin DS | β | 2011 | β |