The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Biochemical validation of self-reported electronic nicotine delivery system and tobacco heaviness of use.
Abstract
= 30) who currently use ENDS and other tobacco products completed a detailed tobacco use history, timeline follow-back, and an ENDS topography session. We evaluated the self-reports of own-brand ENDS use and tested correlations to determine which self-report measures of own-brand use, and which self-reported measures of puff topography, had the strongest correlations with urine and/or blood biomarkers of nicotine use. Participants reported using a variety of different ENDS devices and had a range of usage. The sum of the self-reported number of occasions or hours of ENDS use, along with the number of cigarettes and other tobacco products used, over the past 24 hr was significantly correlated with plasma cotinine levels. Puff topography measures correlated with increased nicotine concentrations, although participants underestimated the number of puffs they took during the topography session. This study provides preliminary evidence that summing together the hours of ENDS use, or the number of occasions of ENDS use, in addition to the number of other tobacco products used (i.e., cigarettes) based on self-report may be an accurate method of quantification. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Second, we relied on self-reported EC and CC use in the last three months of pregnancy, which as past studies suggest, is fairly accurate and representative of an individual’s smoking pattern in pregnancy [36–39].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738
Metabolism and Disposition Kinetics of Nicotine
Hukkanen, J., Jacob, P., & Benowitz, N. L. (2005) · Pharmacological Reviews · doi:10.1124/pr.57.1.3 · Cited by 1,321
e-Cigarette Use Among Youth in the United States, 2019
Cullen, K. A., Gentzke, A. S., Sawdey, M. D., Chang, J. T., Anic, G. M., Wang, T. W., Creamer, M. R., Jamal, A., Ambrose, B. K., & King, B. A. (2019) · JAMA · doi:10.1001/jama.2019.18387 · Cited by 801
Hackshaw, A., Morris, J. K., Boniface, S., Tang, J.-L., & Milenković, D. (2018) · BMJ · doi:10.1136/bmj.j5855 · Cited by 645
Metabolism of nicotine to cotinine studied by a dual stable isotope method
Benowitz, N. L., & Jacob, P. (1994) · Clinical Pharmacology and Therapeutics · doi:10.1038/clpt.1994.169 · Cited by 508
Cotinine disposition and effects
Benowitz, N. L., Kuyt, F., Jacob, P., Jones, R. T., & Osman, A.-L. (1983) · Clinical Pharmacology and Therapeutics · doi:10.1038/clpt.1983.222 · Cited by 484
Nicotine metabolite ratio as an index of cytochrome P450 2A6 metabolic activity*1
DEMPSEY, D. (2004) · Clinical Pharmacology & Therapeutics · doi:10.1016/j.clpt.2004.02.011 · Cited by 429
Electronic cigarettes: what are they and what do they do?
Breland, A., Soule, E., Lopez, A., Ramôa, C., El‐Hellani, A., & Eissenberg, T. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12977 · Cited by 341
A Randomized Placebo-Controlled Clinical Trial of 5 Smoking Cessation Pharmacotherapies
Piper, M. E., Smith, S. S., Schlam, T. R., Fiore, M. C., Jorenby, D. E., Fraser, D. L., & Baker, T. B. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.142 · Cited by 246
Jacob, P., Yu, L., Wilson, M., & Benowitz, N. L. (1991) · Journal of Mass Spectrometry · doi:10.1002/bms.1200200503 · Cited by 234
Gerloff, J., Sundar, I. K., Freter, R., Sekera, E. R., Friedman, A. E., Robinson, R. J., Pagano, T., & Rahman, I. (2017) · Applied In Vitro Toxicology · doi:10.1089/aivt.2016.0030 · Cited by 215
Tobacco Product Use Among Adults — United States, 2015
Phillips, E., Wang, T. W., Husten, C. G., Corey, C. G., Apelberg, B. J., Jamal, A., Homa, D. M., & King, B. A. (2017) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6644a2 · Cited by 200
Relationship between machine-derived smoke yields and biomarkers in cigarette smokers in Germany
Scherer, G., Engl, J., Urban, M. J., Gilch, G., Janket, D., & Riedel, K. (2006) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2006.09.001 · Cited by 175
Hiler, M. M., Breland, A. B., Spindle, T. R., Maloney, S. F., Lipato, T., Karaoghlanian, N. V., Shihadeh, A., Lopez, A. A., Ramôa, C. P., & Eissenberg, T. (2017) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000140 · Cited by 171
Lee, W. H., Ong, S., Zhou, Y., Tian, L., Bae, H. R., Baker, N., Whitlatch, A., Mohammadi, L., Guo, H., Nadeau, K. C., et al. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.03.476 · Cited by 171
Philibert, R. A., Beach, S. R. H., Lei, M., & Brody, G. H. (2013) · Clinical Epigenetics · doi:10.1186/1868-7083-5-19 · Cited by 164
Nicotine metabolite ratio as a predictor of cigarette consumption
Pomerleau, C., Benowitz, N., Jacob, P., & Pomerleau, O. (2003) · Nicotine & Tobacco Research · doi:10.1080/1462220031000158717 · Cited by 155
Spindle, T. R., Breland, A. B., Karaoghlanian, N. V., Shihadeh, A., & Eissenberg, T. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntu186 · Cited by 146
Reynolds, L. M., Wan, M., Ding, J., Taylor, J. R., Lohman, K., Su, D., Bennett, B. D., Porter, D. K., Gimple, R. C., Pittman, G. S., et al. (2015) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.115.001097 · Cited by 146
Self-citationPatterns and trends of dual use of e-cigarettes and cigarettes among U.S. adults, 2015–2018
Owusu, D., Huang, J., Weaver, S. R., Pechacek, T. F., Ashley, D. L., Nayak, P., & Eriksen, M. P. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2019.101009 · Cited by 146
Piper, M. E., Bolt, D. M., Kim, S., Japuntich, S. J., Smith, S. S., Niederdeppe, J., Cannon, D. S., & Baker, T. B. (2008) · Journal of Abnormal Psychology · doi:10.1037/a0013298 · Cited by 121
Estimation of Cigarette Smoking–Attributable Morbidity in the United States
Rostron, B. L., Chang, C. M., & Pechacek, T. F. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.5219 · Cited by 99
Nicotine Content and Delivery Across Tobacco Products
Djordjevic, M. V., & Doran, K. A. (2009) · Handbook of experimental pharmacology · doi:10.1007/978-3-540-69248-5_3 · Cited by 85
Puffing topography as a determinant of smoke exposure
Bridges, R. B., Combs, J. G., Humble, J. W., Turbek, J. A., Rehm, S. R., & Haley, N. J. (1990) · Pharmacology Biochemistry and Behavior · doi:10.1016/0091-3057(90)90037-i · Cited by 79
Lee, Y. O., Nonnemaker, J. M., Bradfield, B. R., Hensel, E. C., & Robinson, R. J. (2017) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntx222 · Cited by 77
Perkins, K. A., Karelitz, J. L., Giedgowd, G. E., & Conklin, C. A. (2011) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntr150 · Cited by 72
Impact of e-liquid flavors on e-cigarette vaping behavior
Helen, G. S., Shahid, M., Chu, S., & Benowitz, N. L. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.04.032 · Cited by 72
Weaver, S. R., Kim, H., Glasser, A., Sutfin, E. L., Barrington‐Trimis, J. L., Payne, T. J., Saddleson, M. L., & Loukas, A. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.11.016 · Cited by 61
Self-citationSmoking topography and nicotine blood levels
Hatsukami, D. K., Pickens, R. W., Svikis, D. S., & Hughes, J. R. (1988) · Addictive Behaviors · doi:10.1016/0306-4603(88)90031-7 · Cited by 55
Evidence, alarm, and the debate over e-cigarettes
Fairchild, A. L., Healton, C. G., Curran, J. W., Abrams, D. B., & Bayer, R. (2019) · Science · doi:10.1126/science.aba0032 · Cited by 43
Jacob, P., Helen, G. S., Yu, L., Nardone, N., Havel, C. M., Cheung, P., & Benowitz, N. L. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntz235 · Cited by 33
Systemic biomarkers of exposure associated with ENDS use: a scoping review
Hiler, M. M., Weidner, A.-S., Hull, L. C., Kurti, A. N., & Mishina, E. V. (2021) · Tobacco Control · doi:10.1136/tobaccocontrol-2021-056896 · Cited by 32
Rudy, A. K., Leventhal, A. M., Goldenson, N. I., & Eissenberg, T. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.07.031 · Cited by 31
The role of DJ-1 in human primary alveolar type II cell injury induced by e-cigarette aerosol
Bahmed, K., Lin, C.-R., Simborio, H. L. T., Karim, L., Aksoy, M. O., Kelsen, S. G., Tomar, D., Madesh, M., Elrod, J. W., Messier, E. M., et al. (2019) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00567.2018 · Cited by 27
Nicotine Dependence and Urinary Nicotine, Cotinine and Hydroxycotinine Levels in Daily Smokers
Overmeire, I. V., Smedt, T. D., Dendale, P., Nackaerts, K., Vanacker, H., Vanoeteren, J. F. A., Laethem, D. M. G. V., Loco, J. V., & Cremer, K. D. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw099 · Cited by 26
Laugesen, M., & Fowles, J. R. (2005) · PubMed · Cited by 21
The effect of cigarette burn time on exposure to nicotine and carbon monoxide in adult smokers
Liang, Q., Roethig, H. J., Lipowicz, P. J., et al. (2007) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2007.08.010 · Cited by 14
Liu, S. T., Newsome, J., Castleman, V., Poonai, K., Creamer, M. R., Kimmel, H. L., & Zandberg, I. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101421 · Cited by 11
Lack of utility of cigarettes per day cutoffs for clinical and laboratory smoking research
Oliver, J. A., Pacek, L. R., Locey, E. N., Fish, L. J., Hendricks, P. S., & Pollak, K. I. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106066 · Cited by 6
Research works printed but not linked: 1
- Zhuikova E, Durrant P, Macauley E, Goss H, Goldsmith N, Ioannides C, Marczylo T & Bailey A (2019). Monitoring the transition from cigarette smoking to electronic cigarette use: Nicotine intake, psychometric, and clinical outcomes. British Journal of Clinical Pharmacology 85: 1627– 1628.
Cited by
Ammar, L., Tindle, H. A., Miller, A. M., Adgent, M. A., Nian, H., Ryckman, K. K., Mogos, M., Piano, M. R., Xie, E., Snyder, B. M., et al. (2023) · PLOS ONE · doi:10.1371/journal.pone.0287348 · Cited by 26
Metadata
- Authors
- Addicott, M. A., Sutfin, E. L., Reynolds, L. M., Donny, E. C., Matich, E. K., & Hsu, P.-C.
- Venue
- Experimental and Clinical Psychopharmacology
- Published
- 2023-06
- Volume
- 31
- Issue
- 3
- Pages
- 715-723
- ISSN
- 1936-2293
- 1064-1297
- PMC
- PMC10184506
- Cited by
- 10
- References
- 39
- Language
- en
- Funders
- University of Arkansas for Medical Sciences
- National Institutes of Health (P30 DA012393)
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
