The feasibility of smoking reduction: an update
Open accessAbstract
AIM: To update conclusions of a previous review of smoking reduction on the extent to which (1) smokers spontaneously reduce their smoking, (2) smokers who try to quit and fail return to smoking less, (3) smokers can substantially reduce and maintain reductions via pharmacological and behavioral treatments and (4) smokers compensate when they reduce. METHOD: Qualitative systematic review. DATA SOURCES: Systematic computer searches and other methods. STUDY SELECTION: Published and unpublished studies of smokers not trying to stop smoking. We located 13-26 studies for each of the four aims. DATA EXTRACTION: The first author entered data with confirmation by second author. DATA SYNTHESIS: Due to the heterogeneity of methods and necessity of extensive recalculation, a meta-analysis was not feasible. RESULTS: Few daily smokers spontaneously reduce. Among those who try to stop smoking and relapse, some return to reduced smoking but whether they maintain this reduction is unclear. Nicotine replacement (and perhaps behavior therapies) can induce smokers not interested in quitting to make significant reductions in their smoking and maintain these over time. Some compensatory smoking occurs with reduction but significant declines in smoke exposure still occur. CONCLUSIONS: These results indicate that reduction is feasible when aided by treatment. Whether reduction should be promoted will depend on the effect of reduction on health outcomes and future cessation.
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Smokers engage in significant compensatory smoking so that a 50% or greater reduction in cigarette consumption only results in a 30% reduction in biomarkers for toxicant exposure and modest reductions in biomarkers for cardiovascular risk.
“Smokers engage in significant compensatory smoking so that a 50% or greater reduction in cigarette consumption, only results in a 30% reduction in biomarkers for toxicant exposure (125, 126) and modest reductions in biomarkers for cardiovascular risk (127).”
From Tobacco addiction (2008) · cites this paper as [125]
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The Multiphase Optimization Strategy for Engineering Effective Tobacco Use Interventions
Collins, L. M., Baker, T. B., Mermelstein, R. J., Piper, M. E., Jorenby, D. E., Smith, S. S., Christiansen, B. A., Schlam, T. R., Cook, J. W., & Fiore, M. C. (2011) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9253-x · Cited by 300 · see citing works
Baker, A., Richmond, R., Haile, M., Lewin, T. J., Carr, V. J., Taylor, R. L., Jansons, S., & Wilhelm, K. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.11.1934 · Cited by 255 · see citing works
Does smoking reduction increase future cessation and decrease disease risk? A qualitative review
Hughes, J., & Carpenter, M. (2006) · Nicotine & Tobacco Research · doi:10.1080/14622200600789726 · Cited by 238 · see citing works
Self-citationHatsukami, D. K., Stead, L. F., & Gupta, P. C. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60871-5 · Cited by 227 · see citing works
Roberts, E., Eden Evins, A., McNeill, A., & Robson, D. (2016) · Addiction · doi:10.1111/add.13236 · Cited by 119 · see citing works
Chronic Disease Management for Tobacco Dependence: A Randomized, Controlled Trial
Joseph, A. M. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.500 · Cited by 92 · see citing works
Evaluating the temporal relationships between withdrawal symptoms and smoking relapse.
Robinson, J. D., Li, L., Chen, M., Lerman, C., Tyndale, R. F., Schnoll, R. A., Hawk, L. W., George, T. P., Benowitz, N. L., & Cinciripini, P. M. (2019) · Psychology of Addictive Behaviors · doi:10.1037/adb0000434 · Cited by 74 · see citing works
Variation in saliva cotinine as a function of self-reported attempts to reduce cigarette consumption
Fidler, J. A., Stapleton, J. A., & West, R. (2011) · Psychopharmacology · doi:10.1007/s00213-011-2317-1 · Cited by 14 · see citing works
Wu, L., He, Y., Jiang, B., Zhang, D., Tian, H., Zuo, F., Lam, T. H., & Cheung, Y. T. D. (2015) · BMC Public Health · doi:10.1186/s12889-015-1749-7 · Cited by 9 · see citing works
- Authors
- Hughes, J. R., & Carpenter, M. J.
- Affiliations
- University of Vermont (US)
- Medical University of South Carolina (US)
- Corresponding author
- Hughes, John R.
- Venue
- Addiction
- Publisher
- Wiley
- Published
- 2005-07-25
- Volume
- 100
- Issue
- 8
- Pages
- 1074-1089
- ISSN
- 0965-2140 (ISSN-L)
- 1360-0443
- PMC
- PMC1419056
- OpenAlex
- W2148375316
- Cited by
- 168
- References
- 96
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 6 · 2018: 8 · 2017: 8 · 2016: 7 · 2015: 15 · 2014: 9 · 2013: 11 · 2012: 9
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Addiction (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Drug Abuse (DA-11557, Z01DA000490, R01DA011557, K05DA000490)
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- smoking reduction, nicotine replacement therapy, compensatory smoking
- MeSH terms
- Smoking Prevention, Adolescent, Counseling, Humans, Psychotherapy, Smoking, Smoking Cessation, Bupropion, Dopamine Uptake Inhibitors, Harm Reduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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