Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Comparison of brain nicotine accumulation from traditional combustible cigarettes and electronic cigarettes with different formulations

Abstract

Rapid brain accumulation is critical for the acute reinforcing effects of nicotine. Although nicotine formulation (free-base vs. protonated or salt) in electronic cigarette (E-cig) liquid affects user satisfaction, its impact on brain nicotine accumulation (BNA) from E-cig use has not been evaluated in comparison with traditional combustible cigarettes (C-cigs) using a within-subjects design. BNA was directly assessed with 29 adult dual users (13 females) of E-cigs and C-cigs, using [11C]nicotine and positron emission tomography (PET). Participants underwent two 15-min upper body (from chest to head) scanning sessions during which they inhaled a single puff of [11C]nicotine-labeled vapor from E-cigs with free-base nicotine or C-cig smoke in a randomized order. Seventeen of them also went through another session during which they inhaled from E-cigs with nicotine salt. A full-body scan was also conducted at each session to measure total absorbed dose of [11C]nicotine. Mean maximum nicotine concentration (Cmax) in brain following inhalation of free-base nicotine E-cig vapor was 19% and 15% lower relative to C-cig smoke and nicotine salt E-cig vapor (ps = 0.014 and 0.043, respectively). The Cmax values did not differ significantly between the C-cig and nicotine salt E-cig. Mean values of time to the maximum concentration (Tmax) were not significantly different between the two types of E-cig, but they were 64% and 40% longer than that for C-cig smoking (ps = 0.0005 and 0.004, respectively). Mean Cmax with C-cigs and free-base nicotine E-cigs were greater in females relative to males and correlated with T1/2 of lung nicotine clearance and participants’ pack-years. These results suggest that while E-cigs with free-base nicotine formulation can deliver nicotine rapidly to the brain, those with nicotine salt formulation are capable of even more efficient brain nicotine delivery closely resembling combustible cigarettes. Therefore, nicotine formulation or pH in E-liquid should be considered in evaluation of E-cigs in terms of abuse liability and potential in substituting for combustible cigarettes.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Average fitted brain nicotine accumulation and lung nicotine washout curves (±SEM) after inhalation of a single puff of vapor from Halo (n = 29) and JUUL (n = 17) E-cig liquids and single puff of smoke from a Capri conventional cigarette (n = 29).
Fig. 2: Kinetic parameters (mean ± SEM) of brain nicotine accumulation and lung nicotine washout after inhalation of a single puff of Halo and JUUL E-cig vapor and Capri conventional cigarettes in dual users (n = 17).
Fig. 3: Kinetic parameters (mean ± SEM) of brain nicotine accumulation and lung nicotine washout after inhalation of a single puff of Halo E-cig vapor and Capri conventional cigarettes in male (n = 16) and female dual users (n = 13).

Similar content being viewed by others

Data availability

The data underlying this article will be shared on reasonable request to the corresponding author.

References

  1. Ali FRM, Seidenberg AB, Crane E, Seaman E, Tynan MA, Marynak K. E-cigarette unit sales by product and flavor type, and top-selling brands, United States, 2020–2022. MMWR Morb Mortal Wkly Rep. 2023;72:672–77.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Abrams DB, Glasser AM, Pearson JL, Villanti AC, Collins LK, Niaura RS. Harm minimization and tobacco control: reframing societal views of nicotine use to rapidly save lives. Annu Rev Public Health. 2018;39:193–213.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Farsalinos K. Electronic cigarettes: an aid in smoking cessation, or a new health hazard? Ther Adv Respir Dis. 2018;12:1753465817744960-60.

    Article  Google Scholar 

  4. Benowitz NL. Clinical pharmacology of nicotine: implications for understanding, preventing, and treating tobacco addiction. Clin Pharm Ther. 2008;83:531–41.

    Article  CAS  Google Scholar 

  5. Carter LP, Stitzer ML, Henningfield JE, O’Connor RJ, Cummings KM, Hatsukami DK. Abuse liability assessment of tobacco products including potential reduced exposure products. Cancer Epidemiol, Biomark Prev. 2009;18:3241–62.

    Article  Google Scholar 

  6. Henningfield JE, Keenan RM. Nicotine delivery kinetics and abuse liability. J Consult Clin Psychol. 1993;61:743–50.

    Article  CAS  PubMed  Google Scholar 

  7. Gholap VV, Kosmider L, Golshahi L, Halquist MS. Nicotine forms: why and how do they matter in nicotine delivery from electronic cigarettes? Expert Opin Drug Deliv. 2020;17:1727–36.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Stepanov I, Fujioka N. Bringing attention to e-cigarette pH as an important element for research and regulation. Tob Control. 2015;24:413–4.

    Article  PubMed  Google Scholar 

  9. Wall A, Roslin S, Borg B, McDermott S, Walele T, Nahde T, et al. E-cigarette aerosol deposition and disposition of [11C]nicotine using positron emission tomography: a comparison of nicotine uptake in lungs and brain using two different nicotine formulations. Pharmaceuticals. 2022;15:367.

  10. El-Hellani A, El-Hage R, Baalbaki R, Salman R, Talih S, Shihadeh A, et al. Free-base and protonated nicotine in electronic cigarette liquids and aerosols. Chem Res Toxicol. 2015;28:1532–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Armitage AK, Dixon M, Frost BE, Mariner DC, Sinclair NM. The effect of tobacco blend additives on the retention of nicotine and solanesol in the human respiratory tract and on subsequent plasma nicotine concentrations during cigarette smoking. Chem Res Toxicol. 2004;17:537–44.

    Article  CAS  PubMed  Google Scholar 

  12. Benowitz NL. Clinical pharmacology of inhaled drugs of abuse: implications in understanding nicotine dependence. NIDA Res Monogr. 1990;99:12–29.

    CAS  PubMed  Google Scholar 

  13. Pankow JF. A consideration of the role of gas/particle partitioning in the deposition of nicotine and other tobacco smoke compounds in the respiratory tract. Chem Res Toxicol. 2001;14:1465–81.

    Article  CAS  PubMed  Google Scholar 

  14. Rose JE, Mukhin AG, Lokitz SJ, Turkington TG, Herskovic J, Behm FM, et al. Kinetics of brain nicotine accumulation in dependent and nondependent smokers assessed with PET and cigarettes containing 11C-nicotine. Proc Natl Acad Sci USA. 2010;107:5190–5.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  15. Zuo Y, Mukhin AG, Garg S, Nazih R, Behm FM, Garg PK, et al. Sex-specific effects of cigarette mentholation on brain nicotine accumulation and smoking behavior. Neuropsychopharmacology. 2015;40:884–92.

    Article  CAS  PubMed  Google Scholar 

  16. Solingapuram Sai KK, Zuo Y, Rose JE, Garg PK, Garg S, Nazih R, et al. Rapid brain nicotine uptake from electronic cigarettes. J Nucl Med. 2020;61:928–30.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Zuo Y, Mukhin AG, Berg H, Morgan JD, Mintz A, Rose JE, et al. Comparison of brain nicotine uptake from electronic cigarettes and combustible cigarettes. Neuropsychopharmacology. 2022;47:1939–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström test for nicotine dependence: a revision of the Fagerström tolerance questionnaire. Br J Addict. 1991;86:1119–27.

    Article  CAS  PubMed  Google Scholar 

  19. Foulds J, Veldheer S, Yingst J, Hrabovsky S, Wilson SJ, Nichols TT, et al. Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users. Nicotine Tob Res. 2015;17:186–92.

    Article  PubMed  Google Scholar 

  20. Farsalinos KE, Romagna G, Tsiapras D, Kyrzopoulos S, Voudris V. Evaluation of electronic cigarette use (vaping) topography and estimation of liquid consumption: implications for research protocol standards definition and for public health authorities’ regulation. Int J Environ Res Public Health. 2013;10:2500–14.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Zuo Y, Garg PK, Nazih R, Garg S, Rose JE, Murugesan T, et al. A programmable smoke delivery device for PET imaging with cigarettes containing (11)C-nicotine. J Neurosci Methods. 2017;283:55–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Halldin C, Någren K, Swahn CG, Långström B, Nybäck H. (S)- and (R)-[11C]nicotine and the metabolite (R/S)-[11C]cotinine. Preparation, metabolite studies and in vivo distribution in the human brain using PET. Int J Rad Appl Instrum B. 1992;19:871–80.

    Article  CAS  PubMed  Google Scholar 

  23. Garg PK, Lokitz SJ, Nazih R, Garg S. Biodistribution and radiation dosimetry of (11)C-nicotine from whole-body PET imaging in humans. J Nucl Med. 2017;58:473–78.

    Article  CAS  PubMed  Google Scholar 

  24. Mukhin A, Garg P, Zuo Y, Nazih R, Behm F, Rose J, et al. Prediction of brain nicotine accumulation during cigarette smoking using data obtained after a single puff of 11C-nicotine containing cigarettes. J Nucl Med. 2012;53:200.

    Google Scholar 

  25. Leventhal AM, Madden DR, Peraza N, Schiff SJ, Lebovitz L, Whitted L, et al. Effect of exposure to e-cigarettes with salt vs free-base nicotine on the appeal and sensory experience of vaping: a randomized clinical trial. JAMA Netw Open. 2021;4:e2032757.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Solingapuram Sai KK, Rose JE, Mukhin AG. Effect of electronic cigarette liquid pH on retention of 11C-nicotine in a respiratory tract model. Nicotine Tob Res. 2023;25:1406–10.

    Article  PubMed  Google Scholar 

  27. Bell MD, Long T, Roden AC, Cooper FI, Sanchez H, Trower C, et al. Updating normal organ weights using a large current sample database. Arch Pathol Lab Med. 2022;146:1486–95.

    Article  CAS  PubMed  Google Scholar 

  28. Yokoi F, Komiyama T, Ito T, Hayashi T, Lio M, Hara T. Application of carbon-11 labelled nicotine in the measurement of human cerebral blood flow and other physiological parameters. Eur J Nucl Med. 1993;20:46–52.

    Article  CAS  PubMed  Google Scholar 

  29. Parkes LM, Rashid W, Chard DT, Tofts PS. Normal cerebral perfusion measurements using arterial spin labelling: reproducibility, stability, and age and gender effects. Magn Reson Med. 2004;51:736–43.

    Article  PubMed  Google Scholar 

  30. Pogun S, Yararbas G, Nesil T, Kanit L. Sex differences in nicotine preference. J Neurosci Res. 2017;95:148–62.

    Article  CAS  PubMed  Google Scholar 

  31. Smith PH, Kasza KA, Hyland A, Fong GT, Borland R, Brady K, et al. Gender differences in medication use and cigarette smoking cessation: results from the International Tobacco Control Four Country Survey. Nicotine Tob Res. 2015;17:463–72.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Pennings JLA, Havermans A, Pauwels C, Krüsemann EJZ, Visser WF, Talhout R. Comprehensive Dutch market data analysis shows that e-liquids with nicotine salts have both higher nicotine and flavour concentrations than those with free-base nicotine. Tob Control. 2023;32:e78–e82.

    Article  PubMed  Google Scholar 

  33. Hartmann-Boyce J, Lindson N, Butler AR, McRobbie H, Bullen C, Begh R, et al. Electronic cigarettes for smoking cessation. Cochrane Database Syst Rev. 2022;11:Cd010216.

    PubMed  Google Scholar 

Download references

Acknowledgements

We thank Sandra Norona, Allison Fulp, Freda Lynn Crawford and Joseph Bottoms for assistance in data acquisition.

Funding

Research reported in this publication was supported by the National Institute on Drug Abuse of the National Institutes of Health under Award Number R01DA044756. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to drafting the work or revising it critically for important intellectual content, gave final approval of the version to be published; and provided an agreement to be accountable for all aspects of the work. In addition: YZ provided contributions to the conception, the data acquisition, analysis and interpretation, and wrote the manuscript draft; KKSS provided contributions to the study conception, data acquisition and the project supervision: AJ—data analysis and contributions to data acquisition and interpretation; AHB provided contributions to data acquisition and interpretation; JER provided contributions to the study concept and data interpretation; AGM—the study concept and design, data acquisition, analysis and interpretation, and the project supervision.

Corresponding author

Correspondence to Alexey G. Mukhin.

Ethics declarations

Competing interests

AGM discloses grants from the National Institute on Drug Abuse and consulting for Rose Research Center LLC on the project funded by Philip Morris International, outside the submitted work. JER discloses grants from the National Institute on Drug Abuse, research support from Foundation for a Smoke-Free World, Philip Morris International, Altria Client Services, JUUL Labs, Otsuka Pharmaceutical, Swedish Match North America, Nicotine BRST LLC; consulting with JT International, SA; and consulting and patent purchase agreement with Philip Morris International for nicotine inhalation system patents, final payment 2014; patent applications filed for bupropion/zonisamide and related drug combinations. All other authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zuo, Y., Solingapuram Sai, K.K., Jazic, A. et al. Comparison of brain nicotine accumulation from traditional combustible cigarettes and electronic cigarettes with different formulations. Neuropsychopharmacol. 49, 740–746 (2024). https://doi.org/10.1038/s41386-024-01800-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41386-024-01800-x

Search

Quick links