Evidence map›Paper›PMID 35995102›Full record

Trial reportPreventive medicine2022

Leveraging the cigarette purchase task to understand relationships between cumulative vulnerabilities, the relative reinforcing effects of smoking, and response to reduced nicotine content cigarettes.

Stephen T Higgins, Tyler G Erath, Michael DeSarno, Derek D Reed, Diann E Gaalema, Stacey C Sigmon, Sarah H Heil, Jennifer W Tidey

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Stephen T HigginsVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America. Electronic address: Stephen.Higgins@uvm.edu.
Tyler G ErathVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America.
Michael DeSarnoVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America.
Derek D ReedDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America.
Diann E GaalemaVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America.
Stacey C SigmonVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America.
Sarah H HeilVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America.
Jennifer W TideyCenter for Alcohol and Addiction Studies, Brown University, Providence, RI, United States of America.
University of Vermont · USBrown University · USUniversity of Kansas · US

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2022
$21.3M
University of Vermont Tobacco Center of Regulatory ScienceU54DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2018 to 2022
$19.4M
TRAINING IN BEHAV. PHARMACOLOGY OF HUMAN DRUG DEPENDENCET32DA007242 · NIDA · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI HEIL, SARAH H, HIGGINS, STEPHEN T · 1990 to 2025
$8.2M
NIDA NIH HHS T32 DA007242NIDA NIH HHS U54 DA036114NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

We examined if the relative-reinforcing effects of smoking increase with greater cumulative vulnerability and whether cumulative vulnerability moderates response to reduced nicotine content cigarettes. Participants were 775 adults from randomized clinical trials evaluating research cigarettes differing in nicotine content (0.4, 2.4, 15.8 mg/g). Participants were categorized as having low (0-1), moderate (2-3), or high (≥4) cumulative vulnerability. Vulnerabilities included rural residence, opioid use disorder, affective disorder, low educational attainment, poverty, unemployment, and physical disability. We used the cigarette purchase task (CPT) to assess the relative-reinforcing effects of participants' usual-brand cigarettes at baseline and study cigarettes during the 12-week trial. The CPT is a behavioral-economic task wherein participants estimate likely smoking (demand) over 24 h under escalating cigarette price. Demand is characterized by two factors: Amplitude (demand volume at zero/minimal price) and Persistence (demand sensitivity to price). Greater cumulative vulnerability was associated with greater demand Amplitude (F[2709] = 16.04,p < .0001) and Persistence (F[2709] = 8.35,p = .0003) for usual-brand cigarettes. Demand Amplitude for study cigarettes increased with increasing cumulative vulnerability (F[2619] = 19.59, p < .001) and decreased with decreasing nicotine content ([4879] = 5.45, p < .001). The only evidence of moderation was on demand Persistence (F[8867] = 2.00,p = .04), with larger reductions at the 0.4 mg/g compared to 15.8 mg/g doses among participants with low compared to moderate or high cumulative vulnerability. The relative-reinforcing effects of smoking clearly increase with greater cumulative vulnerability. Reducing nicotine content would likely reduce demand Amplitude across cumulative-vulnerability levels but reductions in demand Persistence may be more limited among those with greater cumulative vulnerability.

Indexed as

Smoking CessationTobacco ProductsAdultHumansNicotineSmokingTobacco SmokingNicotineBehavioral economicsCigarette purchase taskCigarette smokingCumulative vulnerabilityReduced nicotine content cigarettesReinforcementTobacco regulatory scienceVulnerable populations

Identifiers

PMID35995102
PMCPMC12514785
OpenAlexW4292854150

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.