Literature DB >> 19948382

Predictors of buprenorphine-naloxone dosing in a 12-week treatment trial for opioid-dependent youth: secondary analyses from a NIDA Clinical Trials Network study.

Amit Chakrabarti1, George E Woody, Margaret L Griffin, Geetha Subramaniam, Roger D Weiss.   

Abstract

INTRODUCTION: The present investigation examines baseline patient characteristics to predict dosing of buprenorphine-naloxone, a promising treatment for opioid addiction in youths.
METHODS: This study of 69 opioid-dependent youths is a secondary analysis of data collected during a National Institute on Drug Abuse (NIDA) Clinical Trials Network study. Outpatients aged 15-21 were randomized to a 12-week buprenorphine-naloxone dosing condition (including 4 weeks of taper). Predictors of dosing included sociodemographic characteristics (gender, race, age, and education), substance use (alcohol, cannabis, cocaine, and nicotine use), and clinical characteristics (pain and withdrawal severity).
RESULTS: Most (75.4%) reported having either "some" (n=40, 58.0%) or "extreme" (n=12, 17.4%) pain on enrollment. Maximum daily dose of buprenorphine-naloxone (19.7 mg) received by patients reporting "extreme" pain at baseline was significantly higher than the dose received by patients reporting "some" pain (15.0mg) and those without pain (12.8 mg). In the adjusted analysis, only severity of pain and withdrawal significantly predicted dose. During the dosing period, there were no significant differences in opioid use, as measured by urinalysis, by level of pain.
CONCLUSION: These data suggest that the presence of pain predicts buprenorphine-naloxone dose levels in opioid-dependent youth, and that patients with pain have comparable opioid use outcomes to those without pain, but require higher buprenorphine-naloxone doses. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19948382      PMCID: PMC2821971          DOI: 10.1016/j.drugalcdep.2009.10.014

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  28 in total

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Review 2.  EQ-5D: a measure of health status from the EuroQol Group.

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4.  Prescription opioid abuse in patients presenting for methadone maintenance treatment.

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5.  Psychiatric comorbidity and additional abuse of drugs in maintenance treatment with L- and D,L-methadone.

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Review 8.  Methadone maintenance at different dosages for opioid dependence.

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  15 in total

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Authors:  Margaret L Griffin; Katherine A McDermott; R Kathryn McHugh; Garrett M Fitzmaurice; Robert N Jamison; Roger D Weiss
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2.  Buprenorphine Maintenance Subjects Are Hyperalgesic and Have No Antinociceptive Response to a Very High Morphine Dose.

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Review 3.  Buprenorphine Treatment for Adolescents and Young Adults With Opioid Use Disorders: A Narrative Review.

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4.  Treatment outcomes in opioid dependent patients with different buprenorphine/naloxone induction dosing patterns and trajectories.

Authors:  Petra Jacobs; Alfonso Ang; Maureen P Hillhouse; Andrew J Saxon; Suzanne Nielsen; Paul G Wakim; Barbara E Mai; Larissa J Mooney; Jennifer S Potter; Jack D Blaine
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5.  Volatility and change in chronic pain severity predict outcomes of treatment for prescription opioid addiction.

Authors:  Matthew J Worley; Keith G Heinzerling; Steven Shoptaw; Walter Ling
Journal:  Addiction       Date:  2017-02-28       Impact factor: 6.526

6.  "This is not who I want to be:" experiences of opioid-dependent youth before, and during, combined buprenorphine and behavioral treatment.

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7.  Pain and associated substance use among opioid dependent individuals seeking office-based treatment with buprenorphine-naloxone: a needs assessment study.

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Review 8.  Buprenorphine maintenance and mu-opioid receptor availability in the treatment of opioid use disorder: implications for clinical use and policy.

Authors:  Mark K Greenwald; Sandra D Comer; David A Fiellin
Journal:  Drug Alcohol Depend       Date:  2014-08-19       Impact factor: 4.492

9.  Pain volatility and prescription opioid addiction treatment outcomes in patients with chronic pain.

Authors:  Matthew J Worley; Keith G Heinzerling; Steven Shoptaw; Walter Ling
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