Literature DB >> 26857811

Differences in polysubstance use patterns and drug-related outcomes between people who inject drugs receiving and not receiving opioid substitution therapies.

Kim S Betts1, Gary Chan2, Fairlie McIlwraith3, Paul Dietze4, Elizabeth Whittaker5, Lucy Burns5, Rosa Alati6.   

Abstract

AIMS: To test if polysubstance use profiles and drug-related outcomes differ between those receiving and not receiving opioid substitution therapies (OST) among people who inject drugs (PWID).
DESIGN: An annual cross-sectional, sentinel sample of PWID across Australia.
SETTING: Data came from 3 years (2011-13) of the Illicit Drug Reporting System (IDRS). PARTICIPANTS: A total of 2673 participants who injected drugs from the combined national IDRS samples of 2011 (n = 868), 2012 (n = 922) and 2013 (n = 883). MEASUREMENTS: Latent class analysis (LCA) was used to summarize participants' self-reported use of 18 types of substances, with the resulting polysubstance use profiles then associated with participant experience of a number of drug-related outcomes.
FINDINGS: Polysubstance use profiles exhibiting a broad range of substance use were generally at increased risk of negative drug-related outcomes, whether or not participants were receiving OST, including thrombosis among OST receivers [odds ratio (OR) = 2.13, 95% confidence intervals (CI) = 1.09-4.17], injecting with used needles among OST receivers and non-receivers, respectively (OR = 2.78, 95% CI = 1.50-5.13; OR = 2.15, 95% CI = 1.34-3.45) and violent criminal offences among OST receivers and non-receivers, respectively (OR =2.30, 95% CI = 1.16-4.58; OR = 1.87, 95% CI = 1.14-3.07). An important exception was non-fatal overdose which was related specifically to a class of PWID who were not receiving OST and used morphine frequently (OR = 1.83, 95% CI = 1.06-3.17)
CONCLUSION: Regardless of opioid substitution therapies usage, people who inject drugs who use a broad-range of substances experience greater levels of injecting-related injuries and poorer health outcomes and are more likely to engage in criminal activity than other groups of people who inject drugs.
© 2016 Society for the Study of Addiction.

Entities:  

Keywords:  Drug treatment; latent class analysis; polysubstance use

Mesh:

Substances:

Year:  2016        PMID: 26857811     DOI: 10.1111/add.13339

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  19 in total

1.  History of regular nonmedical sedative and/or alcohol use differentiates substance-use patterns and consequences among chronic heroin users.

Authors:  Tabitha E H Moses; Mark K Greenwald
Journal:  Addict Behav       Date:  2019-05-16       Impact factor: 3.913

2.  Men in Community Correction Programs and Their Female Primary Sex Partners: Latent Class Analysis to Identify the Relationship of Clusters of Drug Use and Sexual Behaviors and HIV Risks.

Authors:  Nabila El-Bassel; Alissa Davis; Amar Mandavia; Dawn Goddard-Eckrich; Timothy Hunt; Phillip Marotta; Mingway Chang; Elwin Wu; Louisa Gilbert
Journal:  J Urban Health       Date:  2019-06       Impact factor: 3.671

3.  Temporal changes in non-fatal opioid overdose patterns among people who use drugs in a Canadian setting.

Authors:  Christopher Fairgrieve; Ekaterina Nosova; M-J Milloy; Nadia Fairbairn; Kora DeBeck; Keith Ahamad; Evan Wood; Thomas Kerr; Kanna Hayashi
Journal:  Subst Abus       Date:  2020-04-29       Impact factor: 3.716

4.  Polysubstance Use Patterns among Justice-Involved Individuals Who Use Opioids.

Authors:  Amanda M Bunting; Carrie Oser; Michele Staton; Hannah Knudsen
Journal:  Subst Use Misuse       Date:  2020-07-20       Impact factor: 2.164

5.  Rural and urban comparisons of polysubstance use profiles and associated injection behaviors among people who inject drugs in Puerto Rico.

Authors:  Dane Hautala; Roberto Abadie; Bilal Khan; Kirk Dombrowski
Journal:  Drug Alcohol Depend       Date:  2017-10-18       Impact factor: 4.492

6.  Patterns of substance use before and after hospitalization among patients seen by an inpatient addiction consult service: A latent transition analysis.

Authors:  Caroline King; Christina Nicolaidis; P Todd Korthuis; Kelsey C Priest; Honora Englander
Journal:  J Subst Abuse Treat       Date:  2020-08-24

7.  Latent Risk Subtypes Based on Injection and Sexual Behavior Among People Who Inject Drugs in Rural Puerto Rico.

Authors:  Dane Hautala; Roberto Abadie; Courtney Thrash; Juan Carlos Reyes; Kirk Dombrowski
Journal:  J Rural Health       Date:  2017-09-07       Impact factor: 4.333

Review 8.  The phenomics and genetics of addictive and affective comorbidity in opioid use disorder.

Authors:  Philip J Freda; Jason H Moore; Henry R Kranzler
Journal:  Drug Alcohol Depend       Date:  2021-02-22       Impact factor: 4.492

9.  High prevalence of co-occurring substance use in individuals with opioid use disorder.

Authors:  James J Mahoney; Erin L Winstanley; Laura R Lander; James H Berry; Patrick J Marshalek; Marc W Haut; Jennifer L Marton; Wesley D Kimble; Matthew Armistead; Sijin Wen; Yilin Cai; Sally L Hodder
Journal:  Addict Behav       Date:  2020-12-04       Impact factor: 3.913

10.  Prevalence and correlates of receptive syringe-sharing among people who inject drugs in rural Appalachia.

Authors:  Rebecca Hamilton White; Allison O'Rourke; Michael E Kilkenny; Kristin E Schneider; Brian W Weir; Suzanne M Grieb; Susan G Sherman; Sean T Allen
Journal:  Addiction       Date:  2020-07-14       Impact factor: 6.526

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