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Effects of instructions on responses to the nicotine patch: a laboratory study
Lisa M Fucito1, Laura M Juliano
1Department of Psychology, American University, Washington, DC 20016, USA.
Psychopharmacology
|July 11, 2007
Summary
Providing smokers with positive information about nicotine replacement therapy (NRT) patches can improve expectancies and aid smoking cessation. This study found that emphasizing patch benefits increased positive mood and reduced smoking during abstinence.
Area of Science:
- Behavioral Science
- Addiction Research
- Nicotine Dependence Treatment
Background:
- Smokers often have lower expectations for nicotine replacement therapies (NRTs) compared to smoking.
- Positive expectancies are crucial for treatment adherence and success.
Purpose of the Study:
- To determine if manipulating expectancies for the nicotine patch could enhance positive expectations.
- To assess the impact of altered expectancies on smoking cessation outcomes during a 2-day abstinence period.
Main Methods:
- 72 smokers were randomized into groups receiving either patch benefits information or standard information including side effects.
- Participants used placebo patches but believed they contained nicotine, with a control group receiving placebo information.
- The study examined the effect of nicotine-dose instructional sets on abstinence outcomes.
Main Results:
- Information emphasizing patch benefits significantly boosted positive expectancies and mood during abstinence compared to side effect information.
- Nicotine-dose instructions led to reduced cigarette lapse and higher perceived patch helpfulness versus placebo instructions.
- Women's smoking behavior showed a greater response to nicotine instructions than men's.
Conclusions:
- Preliminary findings suggest that information about nicotine patch effects and content can influence behavioral and subjective outcomes.
- Tailoring information to enhance positive expectancies may be a viable strategy for improving NRT effectiveness.
- Further research is warranted to explore these expectancy manipulations in larger, diverse populations.
