Behavioral Economic Purchasing Decisions for Cigarettes of Varied Compositions
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Substance Related Disorders
- Tobacco Use Disorder
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: Quadruple (Participant, Care Provider, Investigator, Outcomes Assessor)Primary Purpose: Basic Science
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
The proposed study will determine the abuse liability of altered composition cigarettes compared to standard cigarettes using a behavioral economics abuse-liability approach. Behavioral economic demand analysis constitutes a comprehensive examination of drug reinforcement and abuse liability. Labora...
The proposed study will determine the abuse liability of altered composition cigarettes compared to standard cigarettes using a behavioral economics abuse-liability approach. Behavioral economic demand analysis constitutes a comprehensive examination of drug reinforcement and abuse liability. Laboratory determination of cigarette consumption under various response requirements will occur before and after 3 weeks of at-home exposure, with participants randomized to cigarettes varying in composition to determine the role of experience on the abuse-liability of various cigarettes. Abuse liability will be assessed by 2 essential demand metrics: lower demand intensity and increased demand elasticity, as well as other demand metrics and subjective ratings of "liking". The study will also determine the degree to which altered composition cigarettes may substitute for standard composition cigarettes - testing whether an altered composition policy would achieve the goal of reducing standard cigarette consumption.
Tracking Information
- NCT #
- NCT02888249
- Collaborators
- National Institute on Drug Abuse (NIDA)
- Investigators
- Principal Investigator: Matthew W Johnson, Ph.D. Johns Hopkins University