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NCT06234722

Modeling Tobacco Regulatory Impacts in Appalachia Using the Experimental Tobacco Marketplace

Enrolling by Invitation
NAAges 21+Interventional
Mikhail N Koffarnus
~473 participants
Updated 2026-06-15 on ClinicalTrials.gov
What's tested:Very Low Nicotine CigaretteReduced nicotine regulatory environmentRestriction on characterizing flavors in combustible nicotine productsRestriction on characterizing flavors in noncombustible nicotine products

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Aggregate behavioral economic demand across all participants under the proposed regulatory environments
Measured over Assessed at study week 0 and at study week 9
+1 more outcome measured

Conditions

Tobacco Use
Cigarette Use

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Cigarette UseTobacco Use

Where it's being run

1 sites across 1 states
Kentucky1

Who to contact

This trial hasn't published a contact. View it on ClinicalTrials.gov

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Eligibility criteria

Inclusion

At least 21 years old
Consume nicotine and/or tobacco products daily
Have no plans to quit nicotine/tobacco consumption or seek treatment in the subsequent 9 weeks
Read and understand English

What this trial measures

  • Aggregate behavioral economic demand across all participants under the proposed regulatory environmentsAssessed at study week 0 and at study week 9

    Participants will complete trials of the Experimental Tobacco Marketplace wherein the price of a target commodity will be increased. Nonlinear mixed effects modeling will be used to fit a curve to estimate the number of products purchased at each price and the analysis will result in an measure of overall price sensitivity under each of the regulatory conditions.

  • Aggregate behavioral economic substitution across all participants under the proposed regulatory environmentsAssessed at study week 0 and at study week 9

    Participants will complete trials of the Experimental Tobacco Marketplace wherein the price of alternative products will be fixed across trials and their usual product will change price. Mixed effects modeling will be used to fit a curve to estimate the slopes and intercepts of these alternative products, revealing the degree to which participants will choose to purchase each alternative product as the price of the participant's usual product increases.