CClinicalTrials.gg
CompletedNCT05887947Updated Sep 10, 2025Results posted

Impact of E-cigarette Nicotine Concentration on Compensation

An interventional study of Electronic Cigarette with 5% Nicotine Concentration and Electronic Cigarette with 1.8% Nicotine Concentration in Smoking Cessation, sponsored by University of Kansas Medical Center. Completed at 1 site in United States. Open to participants aged 21 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-09-10.

Sponsored by University of Kansas Medical Center · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
52
Allocation
Randomized
Ages
21 Years and older
Sex
All
01

Study summary

The study will be the first to assess the impact of nicotine concentration on compensatory puffing (total inhaled volume), nicotine delivery, and switch patterns (percent exclusive EC, dual cig-EC, and cig only users) with an explicit focus on AA and White smokers.

Read the detailed description

1. E-cigarettes (ECs) are projected to exceed combustible cigarette use within two years. Policy makers, health officials, and regulators are concerned that newer nicotine salt-based Ecs that use high concentrations of nicotine in their e-liquids are a major reason for this rapid growth in use. The US Food and Drug Administration (FDA) has regulatory authority to set appropriate tobacco product standards to protect public health and has shown interest in exploring a product standard limiting the level of nicotine in e-liquids. While this regulatory consideration has merit, emerging research suggests it may be misguided, leading to a product that is just as addictive but more harmful. Specifically, among users of earlier, freebase nicotine Ecs (i.e., cig-a-like, tank systems), use of low nicotine e-liquids was associated with a 9-fold increase in e-liquid consumption and all of its related toxicants, likely due to compensatory puffing. The consequences of consuming more e-liquid because of lower nicotine concentration remains an important knowledge gap. Moreover, the National Academies of Science, Engineering, and Medicine have concluded that completely substituting Ecs for cigarettes results in less short-term harm than continued smoking, but the impact of low versus high nicotine concentration e-liquids on a smokers' ability to completely switch to Ecs (versus become 'dual users' or continue smoking) is currently unknown. African American (AA) smokers, who take larger puffs, inhale more intensely, and extract more nicotine and harmful constituents per cigarette smoked, may be particularly impacted by nicotine product standards placed on EC - i.e., greater compensatory puffing and more e-liquid and related toxicant consumption at lower e-liquid concentrations. Unfortunately, the vast majority of information on Ecs and potential product standards come from white populations and have largely ignored African American (AA) smokers who bear a disproportionate burden of tobacco-related morbidity and mortality. As the FDA considers regulatory action to limit the level of nicotine in e-liquids to protect public health, it is critical that research considers vulnerable populations and does not widen disparities.

The long-term goal is to inform a tobacco landscape that will minimize tobacco-related harms and downstream health inequities. The overall objective of this application is to understand the impact of e-liquid nicotine concentration on compensatory puffing, EC and cigarette use patterns (exclusive EC, dual EC-cig, exclusive cig), and resultant exposure to biomarkers of harm among AA and white smokers. Adult AA and white smokers will complete two study phases. In Phase 1, using a randomized crossover design, participants will complete two standardized, 10-puff vaping bouts over 5 mins followed by a 60-minute ad libitum vaping session, using two e-liquids that differ only by nicotine concentration (5% vs. 1.8%) to examine the effect of nicotine concentration on in-lab compensatory puffing, nicotine exposure, and e-liquid consumption. In Phase 2, the same participants will be randomized to 5% or 1.8% nicotine e-liquid and instructed to switch completely for 6 weeks to examine the impact of nicotine concentration on short-term and real-world EC use patterns. The central hypothesis is that, compared to the high nicotine concentration, while vaping the low nicotine concentration, users will engage in compensatory puffing, resulting in greater e-liquid consumption (Phase 1). Moreover, rates of dual use and continued smoking will be higher for the low (versus high) nicotine concentration.

02

Conditions studied

  • Smoking Cessation

Browse trials for

03

In context

Smoking Cessation

304 studies on the registry are indexed under Smoking Cessation; 139 are open to participants now.

This study's enrollment of 52 is below the median of 154 across 285 interventional studies indexed under Smoking Cessation.

Browse Smoking Cessation studies →

Lead sponsor

University of Kansas Medical Center is the lead sponsor of 483 studies on the registry; 113 are open to participants now.

Of its 38 completed or terminated interventional studies of FDA-regulated products, 24 (63%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
21 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  1. identify as non-Hispanic white or non-Hispanic African American/Black
  2. willing to switch from smoking to e-cigarettes for 6 weeks
  3. speak and understand English
  4. smoke greater than or equal to 25 of the last 30 days for the past 3 months
  5. not previously used an e-cigarette for longer than 30 days
  6. exhaled carbon monoxide of greater than or equal to 6ppm at screener visit
  7. willing to abstain from marijuana for 12 hours prior to in-person lab visits
  8. willing to abstain from smoking and vaping for 12 hours prior to 3 in-person lab visits

Exclusion criteria

Exclusion Criteria:

  1. weekly use of an EC over the last six months
  2. use of tobacco products other than cigarettes on greater than or equal to 10 days in the past 30 days
  3. use of EC on more than 5 of the past 30 days
  4. current use of cessation medications
  5. pregnant, planning to become pregnant, or breastfeeding
  6. past 30 day hospitalization/ER visit for psychiatric issue, seizure, stroke, or new heart problem
  7. recent history of cardiovascular or pulmonary events in the past three months
  8. treatment for alcohol or drug dependence in the past year
  9. household member currently or previously enrolled in the study
  10. current enrollment in a program aimed at changing smoking patterns
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Triple (Participant, Care provider, Investigator)
Enrollment
52 participants (actual)

Study arms

  • Experimental
    5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette

    At lab visit 1 participants receive 5% electronic cigarette pod nicotine concentration during the 10-puff standardized puff bout and 60-minute ad libitum session. After a washout period of at least 48 hours, at lab visit 2 participants receive 1.8% electronic cigarette pod nicotine concentration during the 10-puff standardized puff bout and 60-minute ad libitum session.

    Device: Electronic Cigarette with 5% Nicotine Concentration · Device: Electronic Cigarette with 1.8% Nicotine Concentration

  • Experimental
    1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigarette

    At lab visit 1 participants receive 1.8% electronic cigarette pod nicotine concentration during the 10-puff standardized puff bout and 60-minute ad libitum session. After a washout period of at least 48 hours, at lab visit 2 participants receive 5% electronic cigarette pod nicotine concentration during the 10-puff standardized puff bout and 60-minute ad libitum session.

    Device: Electronic Cigarette with 5% Nicotine Concentration · Device: Electronic Cigarette with 1.8% Nicotine Concentration

Interventions

  • DeviceElectronic Cigarette with 5% Nicotine Concentration

    Electronic cigarette in 5% nicotine concentration (Vuse Alto), provided for free.

  • DeviceElectronic Cigarette with 1.8% Nicotine Concentration

    Electronic cigarette in 1.8% nicotine concentration (Vuse Alto), provided for free.

06

What researchers measure

Primary outcomes

  1. Total Inhaled Volume

    Differences within participants in total inhaled volume in electronic cigarette puff topography during the pharmacokinetic portions of lab visit 1 and 2

    Time frame: 5 minutes

Secondary outcomes

  1. Participant Switch Trajectory

    Switch trajectory: biochemically confirmed \[exhaled carbon monoxide\] complete switch, use of both e-cigarettes and cigarettes, use of only cigarettes, complete cessation \[non-use of e-cigarettes and cigarettes with biochemical confirmation\]

    Time frame: Week 6 of the Phase 2 period, approximately 8 weeks post-baseline

07

Results

Posted Sep 10, 2025

Participant flow

First Intervention (1 Day)
Participant flow — First Intervention (1 Day)
Milestone5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigarettePhase 2: 5% Nicotine E-cigarettePhase 2: 1.8% Nicotine E-cigarette
Started232900
Completed232900
Not completed0000
Washout (48 Hours)
Participant flow — Washout (48 Hours)
Milestone5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigarettePhase 2: 5% Nicotine E-cigarettePhase 2: 1.8% Nicotine E-cigarette
Started232900
Completed232500
Not completed0400
Second Intervention (1 Day)
Participant flow — Second Intervention (1 Day)
Milestone5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigarettePhase 2: 5% Nicotine E-cigarettePhase 2: 1.8% Nicotine E-cigarette
Started232500
Completed232500
Not completed0000
Washout (1 Week)
Participant flow — Washout (1 Week)
Milestone5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigarettePhase 2: 5% Nicotine E-cigarettePhase 2: 1.8% Nicotine E-cigarette
Started232500
Completed222300
Not completed1200
Randomized Trial (6 Weeks; 5% vs. 1.8%)
Participant flow — Randomized Trial (6 Weeks; 5% vs. 1.8%)
Milestone5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigarettePhase 2: 5% Nicotine E-cigarettePhase 2: 1.8% Nicotine E-cigarette
Started002520
Completed002419
Not completed0011

Outcome measures

PrimaryTotal Inhaled Volume

Differences within participants in total inhaled volume in electronic cigarette puff topography during the pharmacokinetic portions of lab visit 1 and 2

Time frame:
5 minutes
Reported as:
Mean · mL
Total Inhaled Volume
mL5% Nicotine E-cigarette1.8% Nicotine E-cigarette
Total Inhaled Volume416.5 ± 258.3490.3 ± 255.1
SecondaryParticipant Switch Trajectory

Switch trajectory: biochemically confirmed \[exhaled carbon monoxide\] complete switch, use of both e-cigarettes and cigarettes, use of only cigarettes, complete cessation \[non-use of e-cigarettes and cigarettes with biochemical confirmation\]

Time frame:
Week 6 of the Phase 2 period, approximately 8 weeks post-baseline
Reported as:
Count of participants · Participants
Participant Switch Trajectory
Participants5% Nicotine E-cigarette1.8% Nicotine E-cigarette
complete switch106
use of both e-cigarettes and cigarettes1013
use of only cigarettes30
complete cessation10

Adverse events

Collected over 8 weeks. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
5% Nicotine E-cigarette0/52 (0%)0/52 (0%)0/52 (0%)
1.8% Nicotine E-cigarette0/52 (0%)0/52 (0%)0/52 (0%)

Baseline characteristics

Age, Continuous
Age, Continuous(years)5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigaretteTotal
Mean55.7 ± 11.955.9 ± 9.655.8 ± 10.6
Sex: Female, Male
Sex: Female, Male(Participants)5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigaretteTotal
Female151833
Male81119
Race (NIH/OMB)
Race (NIH/OMB)(Participants)5% Nicotine E-cigarette Followed by 1.8% Nicotine E-cigarette1.8% Nicotine E-cigarette Followed by 5% Nicotine E-cigaretteTotal
American Indian or Alaska Native000
Asian000
Native Hawaiian or Other Pacific Islander000
Black or African American121527
White111425
More than one race000
Unknown or Not Reported000
08

Study locations

1 site
  • University of Kansas Medical Center
    Kansas City, Kansas 66160, United States
09

References and documents

Publications

  • Leavens EL, Driskill LM, Molina N, Eissenberg T, Shihadeh A, Brett EI, Floyd E, Wagener TL. Comparison of a preferred versus non-preferred waterpipe tobacco flavour: subjective experience, smoking behaviour and toxicant exposure. Tob Control. 2018 May;27(3):319-324. doi: 10.1136/tobaccocontrol-2016-053344. Epub 2017 Apr 5. PubMed 28381414 ↗
  • Wagener TL, Leavens ELS, Mehta T, Hale J, Shihadeh A, Eissenberg T, Halquist M, Brinkman MC, Johnson AL, Floyd EL, Ding K, El Hage R, Salman R. Impact of flavors and humectants on waterpipe tobacco smoking topography, subjective effects, toxicant exposure and intentions for continued use. Tob Control. 2020 May 13:tobaccocontrol-2019-055509. doi: 10.1136/tobaccocontrol-2019-055509. Online ahead of print. PubMed 32404518 ↗
  • Leavens ELS, Morgan TL, Brett EI, Patzkowsky K, Son J, Molina N, Eissenberg T, Shihadeh A, Leffingwell TR, Wagener TL. Concurrent Alcohol Use and Waterpipe Tobacco Smoking: Smoking Topography, Toxicant Exposure, and Abuse Liability. Nicotine Tob Res. 2020 Feb 6;22(2):280-287. doi: 10.1093/ntr/ntz032. PubMed 30820567 ↗
  • Leavens ELS, Smith TT, Natale N, Carpenter MJ. Electronic cigarette dependence and demand among pod mod users as a function of smoking status. Psychol Addict Behav. 2020 Nov;34(7):804-810. doi: 10.1037/adb0000583. Epub 2020 Apr 16. PubMed 32297753 ↗
  • Leavens ELS, Stevens EM, Brett EI, Hebert ET, Villanti AC, Pearson JL, Wagener TL. JUUL electronic cigarette use patterns, other tobacco product use, and reasons for use among ever users: Results from a convenience sample. Addict Behav. 2019 Aug;95:178-183. doi: 10.1016/j.addbeh.2019.02.011. Epub 2019 Feb 18. PubMed 30933713 ↗
  • Leavens ELS, Stevens EM, Brett EI, Leffingwell TR, Wagener TL. JUUL in school: JUUL electronic cigarette use patterns, reasons for use, and social normative perceptions among college student ever users. Addict Behav. 2019 Dec;99:106047. doi: 10.1016/j.addbeh.2019.106047. Epub 2019 Jul 9. PubMed 31442788 ↗
  • Wagener TL, Avery JA, Leavens ELS, Simmons WK. Associated Changes in E-cigarette Puff Duration and Cigarettes Smoked per Day. Nicotine Tob Res. 2021 Mar 19;23(4):760-764. doi: 10.1093/ntr/ntaa211. PubMed 33049064 ↗
  • Stevens EM, Hebert ET, Tackett AP, Leavens ELS, Wagener TL. Harm Perceptions of the JUUL E-Cigarette in a Sample of Ever Users. Int J Environ Res Public Health. 2020 Jul 2;17(13):4755. doi: 10.3390/ijerph17134755. PubMed 32630647 ↗
  • Wedel AV, Stevens EM, Molina N, Leavens ELS, Roberts C, Wagener TL. Examining pregnant smokers' attitudes toward cessation aids and electronic nicotine delivery systems. J Okla State Med Assoc. 2018 Oct;111(8):812-816. PubMed 31404418 ↗
  • Waseh S, Dicker AP. Telemedicine Training in Undergraduate Medical Education: Mixed-Methods Review. JMIR Med Educ. 2019 Apr 8;5(1):e12515. doi: 10.2196/12515. PubMed 30958269 ↗
  • Leavens ELS, Lechner WV, Stevens EM, Miller MB, Meier E, Brett EI, Moisiuc A, Hale JJ, Wagener TL. Electronic cigarette and combustible cigarette use following a campus-wide ban: Prevalence of use and harm perceptions. J Am Coll Health. 2020 May-Jun;68(4):332-335. doi: 10.1080/07448481.2018.1551803. Epub 2019 Jan 25. PubMed 30681933 ↗
  • Leavens ELS, Meier E, Brett EI, Stevens EM, Tackett AP, Villanti AC, Wagener TL. Polytobacco use and risk perceptions among young adults: The potential role of habituation to risk. Addict Behav. 2019 Mar;90:278-284. doi: 10.1016/j.addbeh.2018.11.003. Epub 2018 Nov 8. PubMed 30472536 ↗
  • Tackett AP, Leavens ELS, Wiedenmann A, Perez MN, Baker A, Mayes S, Mullins LL, Wagener TL. Preliminary exploration of secondhand smoke exposure in youth with Sickle Cell Disease: biochemical verification, pulmonary functioning, and health care utilization. Psychol Health Med. 2019 Jan;24(1):35-42. doi: 10.1080/13548506.2018.1516294. Epub 2018 Sep 11. PubMed 30203658 ↗
  • Leavens ELS, Brett EI, Morgan TL, Lopez SV, Shaikh RA, Leffingwell TR, Wagener TL. Descriptive and injunctive norms of waterpipe smoking among college students. Addict Behav. 2018 Feb;77:59-62. doi: 10.1016/j.addbeh.2017.09.006. Epub 2017 Sep 18. PubMed 28963891 ↗
  • Leavens ELS, Meier E, Tackett AP, Miller MB, Tahirkheli NN, Brett EI, Carroll DM, Driskill LM, Anderson MP, Wagener TL. The impact of a brief cessation induction intervention for waterpipe tobacco smoking: A pilot randomized clinical trial. Addict Behav. 2018 Mar;78:94-100. doi: 10.1016/j.addbeh.2017.10.023. Epub 2017 Oct 28. PubMed 29128712 ↗
  • Leavens EL, Brett EI, Frank S, Shaikh RA, Leffingwell TR, Croff JM, Wagener TL. Association between breath alcohol concentration and waterpipe lounge patrons' carbon monoxide exposure: A field investigation. Drug Alcohol Depend. 2017 Jan 1;170:152-155. doi: 10.1016/j.drugalcdep.2016.11.010. Epub 2016 Nov 16. PubMed 27918950 ↗
  • Busch AM, Leavens EL, Wagener TL, Buckley ML, Tooley EM. Prevalence, Reasons for Use, and Risk Perception of Electronic Cigarettes Among Post-Acute Coronary Syndrome Smokers. J Cardiopulm Rehabil Prev. 2016 Sep-Oct;36(5):352-7. doi: 10.1097/HCR.0000000000000179. PubMed 27120039 ↗
  • Brett EI, Miller MB, Leavens ELS, Lopez SV, Wagener TL, Leffingwell TR. Electronic cigarette use and sleep health in young adults. J Sleep Res. 2020 Jun;29(3):e12902. doi: 10.1111/jsr.12902. Epub 2019 Sep 4. PubMed 31486154 ↗

Study documents

  • Protocol and statistical analysis plan · Jan 26, 2023

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 10, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT05887947
Lead sponsor
University of Kansas Medical Center
Collaborators
National Institute on Drug Abuse (NIDA)
Responsible party
Sponsor
First posted
Jun 5, 2023
Start date
Feb 20, 2023
Primary completion
May 3, 2024
Completion
Jun 10, 2024
Results posted
Sep 10, 2025
Last update
Sep 10, 2025

Study contacts

Eleanor Leavens, PhD
principal investigator · University of Kansas Medical Center

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Aug 2025. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion