Evidence map›Paper›PMID 22949581›Full record

ReviewNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2012

Impact of tobacco regulation on animal research: new perspectives and opportunities.

Eric C Donny, Tracy G Taylor, Mark G LeSage, Melissa Levin, Deanne M Buffalari, Danielle Joel, Alan F Sved

Abstract readReview
In one paragraph

Review in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Stimulus functions of nicotine.Advances in pharmacology (San Diego, Calif.) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Consortium on Methods Evaluating Tobacco: Research Tools to Inform US Food and Drug Administration Regulation of Snus.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Review
  10. Article
  11. A Bayesian hierarchical model for demand curve analysis.Statistical methods in medical research · 2018
    Article
  12. Basic Science and Public Policy: Informed Regulation for Nicotine and Tobacco Products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Review
  13. Article
  14. Article
  15. Animal Research on Nicotine Reduction: Current Evidence and Research Gaps.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

7 authors.

Eric C DonnyDepartment of Psychology, Dietrich School of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA, USA. edonny@pitt.edu
Tracy G Taylor
Mark G LeSage
Melissa Levin
Deanne M Buffalari
Danielle Joel
Alan F Sved

Funding

VERY LOW NICOTINE CIGARETTES IN SMOKERS WITH SCHIZOPHRENIAU54DA031659 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DONNY, ERIC CHRISTIAN, HATSUKAMI, DOROTHY K · 2011 to 2022
$64.7M
SELF ADMINISTERED VS NONCONTINGENT NICOTINER01DA010464 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DONNY, ERIC CHRISTIAN · 1997 to 2012
$3.5M
Determinants of Nicotine Reinforcement Thresholds and Demand Elasticity in RatsR01DA026444 · NIDA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI LESAGE, MARK G · 2009 to 2013
$1.6M
NIDA NIH HHS P50 DA031659NIDA NIH HHS R01 DA026444NIDA NIH HHS R01 DA10464NIDA NIH HHS U54 DA031659
6 · The paper itself

Abstract

introductionThe Family Smoking Prevention and Tobacco Control Act in the United States and the World Health Organization Framework Convention on Tobacco or Health ratified by over 170 countries render scientific investigations into the abuse liability, harm, and effects of tobacco more critical than ever. A key area to explore relates to the potential regulation of nicotine content in cigarettes. Determining the nicotine content per cigarette below which smokers reliably reduce their consumption of and dependence on cigarettes, an idea proposed almost 20 years ago (Benowitz & Henningfield, 1994), could be a powerful approach to reduce the abuse liability and consequent harm from cigarettes. However, this approach is laden with potentially complex issues. Many of these complications can be studied using animal models, but they require a particular perspective.

methodsHerein, we review several challenges for animal researchers interested in nicotine reduction as examples of how this perspective dictates new approaches to animal research. These include defining the threshold nicotine dose for maintaining self-administration, evaluating the differential impact of various implementation strategies, assessing the factors that could interact with nicotine to alter the reinforcement threshold, describing the role of cues in maintaining low dose nicotine self-administration, and examining individual differences in response to nicotine reduction.

conclusionsResearchers who study tobacco using animal models have the opportunity to play a central role in the regulatory science of tobacco and conduct studies that directly inform policy decisions that could impact the lives of millions.

Indexed as

Animal ExperimentationAnimalsComorbidityDisease Models, AnimalDose-Response Relationship, DrugGovernment RegulationHumansNicotineRodentiaSchizophreniaSelf AdministrationSmoking CessationTobacco IndustryTobacco ProductsTobacco Use DisorderUnited StatesNicotine

Identifiers

PMID22949581
PMCPMC3611983

What OpenQuestion holds

Textmetadata
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.