King's College London

Research portal

Contingency management for tobacco smoking during opioid addiction treatment: a randomised pilot study

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)e017467
JournalBMJ open
Volume7
Issue number9
Early online date1 Sep 2017
DOIs
Publication statusE-pub ahead of print - 1 Sep 2017

Documents

King's Authors

Abstract

INTRODUCTION: Smoking rates among individuals in treatment for opioid addiction are close to five times that of the general public. Moreover, drug-addicted smokers have a premature mortality rate four times greater than drug-addicted non-smokers. The aim of this pilot study was to investigate whether contingency management (CM) can be successfully added to evidence-based stop smoking treatment in individuals undergoing treatment for opioid addiction and assess preliminary evidence for its impact.

PARTICIPANTS: Forty tobacco smokers currently undergoing treatment for opioid addiction.

INTERVENTION: Escalating with reset CM as an adjunct to standard smoking cessation treatment. Financial incentives will be administered over a 5-week period for either biochemically verified abstinence from smoking or attendance at the clinic. Participants will be randomised to conditions stratified on current levels of smoking (high or low).

OBJECTIVES AND ANALYSES: To assess whether a CM intervention can be successfully added to standard stop smoking services treatment, in patients undergoing outpatient treatment for opioid addiction. This will be measured as the number of people completing the 5 weeks of the intervention.

ETHICS AND DISSEMINATION: Ethics approval for the study was granted on the 16 June 2016 by the London-city and east (reference 16/LO/0990) ethics committee. The pilot study was retrospectively registered on clincaltrials.gov in January 2017 (ID: NCT03015597). A SPIRIT checklist and figure are available for this protocol. It is planned that the results of this study will be published in an academic journal.

Download statistics

No data available

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454