Evidence map›Paper›PMID 41161725›Full record

ArticleTobacco control2025

Responses to e-cigarette nicotine source descriptors: results from a randomised experiment.

Andrew B Seidenberg, Mona Azadi, Nathaniel A Silver, Alexander P D'Esterre, Annette Kaufman, Rachel G Mayne, Maria Roditis, Kathryn Heley, Jennifer M Kreslake

Abstract read
In one paragraph

Article in Tobacco control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Andrew B SeidenbergTruth Initiative Schroeder Institute, Washington, District of Columbia, USA aseidenberg@truthinitiative.org.ORCID http://orcid.org/0000-0001-5001-2067
Mona AzadiTruth Initiative Schroeder Institute, Washington, District of Columbia, USA.ORCID http://orcid.org/0000-0001-8944-7471
Nathaniel A SilverTruth Initiative Schroeder Institute, Washington, District of Columbia, USA.ORCID http://orcid.org/0000-0002-0325-2559
Alexander P D'EsterreTruth Initiative Schroeder Institute, Washington, District of Columbia, USA.ORCID http://orcid.org/0000-0002-5722-6719
Annette KaufmanNational Cancer Institute Tobacco Control Research Branch, Bethesda, Maryland, USA.ORCID http://orcid.org/0000-0002-6696-7025
Rachel G MayneNational Cancer Institute Tobacco Control Research Branch, Bethesda, Maryland, USA.ORCID http://orcid.org/0000-0002-8826-0987
Maria RoditisNational Cancer Institute Tobacco Control Research Branch, Bethesda, Maryland, USA.
Kathryn HeleyHealth Communication and Informatics Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland, USA.ORCID http://orcid.org/0000-0003-3074-2294
Jennifer M KreslakeTruth Initiative Schroeder Institute, Washington, District of Columbia, USA.ORCID http://orcid.org/0000-0001-6605-1327

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundE-cigarettes made with synthetic nicotine are often marketed using "tobacco-free nicotine" and "non-tobacco nicotine" descriptors. The purpose of this study was to determine whether variations in nicotine source descriptors impacted young adult perceptions of e-cigarette harm and addictive potential, and susceptibility to e-cigarette product use.

methodsWe conducted an online between-groups experiment among young adults (aged 21-29). Participants were randomly assigned to view an advertisement for a fictional e-cigarette brand with one of four nicotine source descriptors: "Made with … "synthetic nicotine"; "tobacco-free nicotine"; "non-tobacco nicotine"; "nicotine from tobacco"; or a control (no descriptor). Outcomes included harm perceptions, addictiveness perceptions and susceptibility to use. Analyses were stratified by past 30-day e-cigarette users (n=642) and past 30-day non-e-cigarette/tobacco users (n=670).

resultsAmong past 30-day e-cigarette users, mean e-cigarette harm and addictiveness perceptions varied across conditions (all p values <0.05), though susceptibility to use the advertised product did not (p=0.564). Among non-e-cigarette/tobacco users, mean scores for select perceived harm (conditional product harm, p=0.005; unconditional nicotine harm, p<0.001) and addictiveness outcomes (relative addictiveness vs other e-cigarettes, p=0.026) varied by condition. Susceptibility to using the advertised product (p=0.328) did not vary across condition among non-e-cigarette/tobacco users. Pairwise comparisons revealed that mean differences were primarily driven by reduced harm and addictiveness perceptions for descriptors communicating absence of tobacco (ie, "non-tobacco nicotine").

conclusionsNicotine source descriptors, especially "non-tobacco nicotine" and among past 30-day e-cigarette users, may reduce harm and addictiveness perceptions for e-cigarettes. Marketing regulations of nicotine source descriptors may be needed.

Indexed as

Advertising and PromotionElectronic nicotine delivery devicesNicotinePackaging and Labelling

Identifiers

PMID41161725
PMCPMC12781070

What OpenQuestion holds

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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.