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Evidence From the Scientific Assessment of Electronic Cigarettes and Their Role in Tobacco Harm Reduction Cover

Evidence From the Scientific Assessment of Electronic Cigarettes and Their Role in Tobacco Harm Reduction

Open Access
|May 2021

Figures & Tables

Figure 1

Schematic illustration of e-cigarette devices showing disposable 1st generation (cig-a-like) e-cigarettes, 2nd generation with refillable system, 3rd generation customizable ECs, and 4th generation e-cigarettes closed systems.
Schematic illustration of e-cigarette devices showing disposable 1st generation (cig-a-like) e-cigarettes, 2nd generation with refillable system, 3rd generation customizable ECs, and 4th generation e-cigarettes closed systems.

Comparison of carbonyl levels in e-cigarette vapour versus cigarette smoke from published studies_

CategoryDevice/CigaretteRegimeNo. of puffsCarbonylsUnitsReference

FormaldehydeAcetaldehydeAcetoneAcroleinPropionaldehyde CrotonaldehydeMEKButyraldehyde
Cigarette1R6FHCI9.14.879158.962.3114.5113.744.48415.933.08μg/puff(22)
CigaretteBenson & Hedges Sky BlueHCI8.15.235177.465.6815.9315.435.32117.414.469μg/puff(22)
EC Gen1Various70 / 1.8 / 10*1503.2–56.12.0–13.6N/A0–41.9N/AN/AN/AN/Aμg/150 puffs(44)
EC Gen 2Various open tank55 / 4 / 30*100.9–2.70.3–1.7N/A0.7–1.9N/AN/AN/AN/Aμg/10 puffs(344)
EC Gen 2/3Open tank/NHOSS “Lounge” model (no nic./16 mg/mL nic.)CRM81960.37–1.480.16–0.96N/A0.05–2.1 1N/AN/AN/AN/Ang/mL puff(113)
EC Gen 3/4ePenCRM81 1221067370LOQN/AN/A8ng/puff(20)
EC Gen 4JUUL rich tobacco (20 mg/mL)CRM81 11276313N/AN/AN/AN/Ang/puff(114)
JUUL rich tobacco (18 mg/mL)CRM81 1112367N/AN/AN/AN/Ang/puff(114)
myblu (tobacco flavour, 1.6% nic.)CRM81150< 2.63< 17.5< 8.75< 4.38< 4.38< 4.38< 4.38< 4.38μg/150 puffs(115)
Vype ePen 2 (18 mg/mL nic.)CRM81 268230135.834696.2BLDBLDBLDng/puff(22)
Vype ePen 3 (BAT 18 mg/mL nic.)CRM81 52.8NQ111BLDNQBLDBDLBLDng/puff(22)

Population modelling studies_

ReferenceFocus and assumptionsConclusions
Levy et al., 2018 (334)Status quo scenario developed to project smoking rates and health outcomesin the absence of vaping, compared with substitution models in which combustible cigarette use is largely replaced by vaping over a 10-year periodProjections show that a strategy of replacing cigarette smokingwith vaping would yield substantial life-year gains, even under pessimistic assumptionsregarding cessation, initiation and relative harm
Levy et al., 2017 (366)Alteration in smoking patterns caused by transitions from trialof e-cigarettes to established vaping (exclusive or dual use) and effects of cessation at later ages in a 1997 birth cohort; measured by estimated public health impact on deaths and life-years lost incorporating evidence-informed parameter estimatesConservative assumptions indicated reductions of 21% in smoking-attributable deaths and of 20% in life-years lost with established vaping compared to no vaping. Health gains from vaping were especially sensitive to vaping risks and use rates among those who were otherwise likely to smoke cigarettes
Levy et al., 2019 (367)Cohort-specific simulation model of the impact of e-cigarettes containing nicotine on smoking cessation by adult smokers and premature deaths and life-years lost, by gender in two US birth cohorts aged 30 or 50 years in 2012Vaping was projected to have a net positive impact on population health over a wide range of plausible levels of use (transitions to dual, exclusive, andno e-cigarette use) and vaping risks, although net impact wassensitive to parameter estimates
Warner & Mendez, 2019 (333)Dynamic model that tracked smoking status in the US adult population and smoking-related deaths over time and the effects of vaping-induced smoking initiation and cessation on life-years saved or lost to the year 2070Health benefits were strongly suggested for e-cigarette use, interms of their potential to increase adult smoking cessation, that exceeded risks to healthresulting from increasing the number of youthful smoking initiators
Petrović-van der Deen et al., 2019 (368)Multistate life-table model of 16 tobacco-related diseases thatsimulated lifetime quality-adjusted life-years and health-system costs at a 0% discount rate, incorporating transitions from never, former, and current smoker states to and fromregular vaping and based on literature estimates for relative risk of disease incidence for vaping vs. smokingA regulatory environment permissive of vaping achieved net health-gain and cost savings, although uncertainty intervals were wide
Cherng et al., 2016 (336)Agent-based model examining hypothetical scenarios of e-cigarette use by smoking status and e-cigarette effects on smoking initiation and smoking cessationWith current patterns of e-cigarette use by smoking status and the heavy concentration of e-cigarette use among current smokers, simulated effects of e-cigarettes on smoking cessation generated substantiallylarger changes to smoking prevalence than on smoking initiation
Soneji et al., 2018 (337)Monte Carlo stochastic simulation model of expected years of life gained or lost due to effects of e-cigarette use on smoking cessation among current smokers and transition to long-term cigarette smoking among never smokers in 2014US population, with model parameters drawn from census counts, national healthand tobacco use surveys, and published literatureThe existing evidence and optimistic assumptions about the relative harm of e-cigarette use compared to cigarette smoking, suggest that e-cigarette usecurrently represents more population-level harm than benefit
Kalkhoran & Glantz, 2015 (369)A base case model using data on reported cigarette and e-cigarette use patterns in the US and UK to quantify transitionsfrom no cigarette or e-cigarette use to never use of either, cigarette use, e-cigarette use, dual use, or quitIf e-cigarette use increased only among smokers interested in quitting vsmore quit attempts and no increased initiation of e-cigarette use among non-smokers or e-cigarettes were taken up only by youth who would have smoked conventional cigarettes, population-level health benefits were estimated regardless of e-cigarette health costs. Conversely, scenarios in which e-cigarette promotion led to renormalisation of cigarette smoking or ECs were used primarily by youth who never would have smoked, net health harms were estimated across all e-cigarette health costs. In other scenarios, the net health effects varied by the health costs of e-cigarettes
Hill & Camacho, 2017 (338)System Dynamics Model representing UK population. Assumes the risk of dual users is the same as smokers and any benefit obtained from quitting is lost if there is a relapse to smoking. Provide projections to 2050.The results suggest that by 2050, smoking prevalence in adults could be as low as 12.4% in the core model and 9.7% (including dual users) in the counterfactual. Smoking-related mortality would be 8.4% and 8.1%, respectively.

Clinical studies of e-cigarettes_

ReferenceStudy design/productStudy arms (subgroups)Conclusions
Shahab et al., 2017b (221)Cross-sectional study, using unspecified EC or NRT products for ≥ 6 monthsSmokers (n = 37)Dual use NRT (n = 36)Dual use EC (n = 36)NRT (n = 36)EC (n = 36)NNAL, 3HPMA, AAMA, CYMA, MHBMA3, HEMA were expressed as proportions of levels in the smoker arm. Significantly lower levels of all biomarkers were observed for EC only users (2.9–43.5% decrease) that were similar to those in NRT only users. NRT and EC dual users presented similar biomarker levels to the smoking group
Lorkiewicz et al., 2019 (216)Cross-sectional study, using unspecified ECs or smokeless productsNo tobacco (n = 12)ECs (n = 12)smokers (n = 12)smokeless tobacco (n = 12)The EC users showed higher levels of xylene, cyanide, styrene, ethylbenzene, and acrolein metabolites than non-tobacco users, but lower levels for toluene and acrolein metabolites. Levels of VOC metabolites in the smokeless tobacco group were similar to those in the non-tobacco group
Czoli et al., 2019 (214)Three-period crossover design where dual users (smoked ≥ 5 cigarettes per day and used an EC at least once a day for the past 7 days) to either EC > smoking > no tobacco or smoking > EC > no tobacco, with each condition lasting for 7 daysDual users (n = 48)1-HOP was significantly higher during the smoking period than during dual use but was lower during EC use. NNAL levels decreased significantly from dual use, by 30% during EC use and by 35% during cessation but did not change during smoking
Hecht et al., 2015 (226)Cross-sectional study comparing biomarker levels in smoker to ECs switchers (≥ 2 months) with those in smokers from three previously published studies (Carmella et al. 2009; Hatsukami et al. 2010; Zarth et al. 2014)EC users (n = 28)All biomarkers (1-HOP, total NNAL, 3HPMA, 2HPMA, HMPMA, and SPMA) were significantly lower in EC users than in smokers
Mcrobbie et al., 2015 (217)Switching study in which smokers switched to ECs or dual useEC users (n = 16)Dual use (n = 18)3HPMA in urine showed significant reductions at 4 weeks after switching compared with baseline (ECs 79%, dual use 60%)
Goniewicz et al., 2017 (215)Switching study in which smokers switched to ECs dual use for 2 weeks then ECs only for 2 weeksSmokers switching to ECs (n = 20)Significant reductions were seen after 2 weeks in urine biomarkers of exposure to NNAL and eight VOC metabolite levels (50–69%) and fluorene (42–82%), butnot in those for pyrene, phenanthrene, and naphthalene
Cravo et al. 2016 (225)Parallel study in which smokers were randomly assigned in a ratio of 3:1 to switch to an EC (tobacco or menthol flavour) or continue smoking for 12 weeksSwitch to EC (n = 306)continue smoking (n = 102)After 12 weeks, 3-HPMA, S-PMA and total NNAL in urine were reduced by around 30% compared with baseline in those who switched to ECs, whereas noreductions were among those who continued smoking
O’Connell et al., 2016 (245)D’Ruiz et al., 2017 (232)D’Ruiz et al., 2016 (356)Parallel study of smokers switching to ECs or dual use during 6 days in clinicRechargeable EC tobacco flavour (n = 15)rechargeable EC cherry flavour (n = 15)disposable EC cherryflavour (n = 15)dual use with rechargeable EC tobacco flavour (n = 15)dual use with rechargeable EC cherry flavour (n = 15)dual use with disposable EC cherry flavour (n = 15)cessation (n = 15)Biomarkers: all urine biomarker measures (total NNAL, 3-HPMA, HMPMA, CEMA, 1-OHP, NNN, MHBMA, S-PMA) were significantly reduced compared to baseline in all groups, except MHBMA in the cherry disposable dual use group; levels in dual users were significantly higher than those in the cessation groupSpirometry: small changes seen in FVC from baseline to Day 5 (!0.5% to 3.1%) but were significant for tobacco and cherry rechargeable EC only users, while FEV1changes (!1.5% to 6.0%) were significant increases for the tobacco and cherry rechargeable EC only users and cherry rechargeable dual usersExhaled CO: reduced across all study groups, by around 89% in EC only and cessation groups and around 26% in dual user groupsExhaled FeNO: increased by 45.8–63.4% in EC only groups and 55%in the cessation group, but not in dual user groups (differences from the tobacco rechargeable and cherry disposable EC only groups were significant)Systolic blood pressure: changes varied across groups, but significant reductions in mornings seen for cherry flavour dual users, and in rechargeable tobaccoEC only usersDiastolic blood pressure: reduced significantly in mornings forrechargeable tobacco dual users and cherry rechargeable EC only usersHeart rate: reductions observed in the cessation group, rechargeable tobacco EC only group and rechargeable cherry product EC only and dual use groups
Sakamaki-Ching et al., 2020 (222)Cross-sectional study of age and gender matched participants, assessing spot urine samples from EC users, smokers and non-smokers for metals (antimony, cadmium, copper, indium, lead, nickel, rubidium, selenium, silver, titanium, and zinc), metal exposure, and BOPHEC users (n = 20)smokers (n = 13)non-smokers (n = 20)Metals: biomarkers for seleniumwere significantly higher in ECusers than in non-smokers or smokers with means 54.0, 41.8, and 39.7 μg/g creatinine, respectively, and were significantly increased for zinc in EC userscompared to non-smokers (584.5 vs413.6 mg/g creatinine) but not compared to smokers (470.7 mg/g creatinine)Metal exposure: metallothionein was significantly greater in ECusers than in non-smokers (mean 3761 vs1129 pg/mg creatinine) but similar to that in smokers (4096 pg/mg creatinine)BOPH: concentrations were increased in EC users when compared to non-smokers but not smokers (8-OHdG 442.8 vs221.6 and 388 ng/mg creatinine; 8-isoprostane 750.8 vs411.2 and 784.2 ng/mg creatinine)
Campagna et al., 2016 (357)Cibella et al., 2016 (229)Longitudinal study (52 weeks) of smokers switching to ECs with different concentrations of nicotine2.4% nicotine (n = 49)1.8% nicotine (n = 50)0% nicotine (n = 40)82 participants continued smoking, 34 significantly reduced thenumber of cigarettes smoked, and 18 quit smoking after switchingExhaled CO: decreased significantly in quitters and smokers whoreduced cigarette consumption from week 12Exhaled FeNO: increased significantly in quitters from week 12FEV1, FVC and FEV1/FVC ratio: not affected by smoking status (continued, reduced, or quit)FEF25–75%: significantly increased among quitters
Polosa et al., 2016 (220)Retrospective chart review study of changes in respiratory outcomes over 2 years in patients with COPD who were daily EC users (without combustible cigarettes) or smokers, matched for age and sexBaseline COPD GOLDstage 1 (smokers n = 3; EC users n = 2)stage 2 (smokers n = 5; EC users n = 6)stage 3 (smokers n = 11; EC users n = 10)stage 4 (smokers n = 5; EC users n = 6)FEV1, FVC and ratio FEV1/FVC ratio did not change from baseline values in either EC users or smokers, whereas COPD exacerbations were reduced and 6-min walking test scores increased compared with baseline in the EC users group but not the smoking group
Pulvers et al., 2018 (358)Switch study of smokers switching to an EC for 30 days with choice of seven flavours and two nicotine concentrations (12 or 24 mg/mL)Smokers (n = 37)Cigarette consumption: decreased significantly from mean 24.8 days to 14.0 days per month and mean 8.7 to 4.4 cigarettes per day, with six participants quitting, 21 becoming dual users and the remaining 10 sporadic EC only usersBiomarkers: NNAL, PMA, CNEMA decreased significantly from baseline, whereas HEMA, MMA, 3-HPMA, 2-HPMA, AAMA and HPMMA did notExhaled CO: decreased significantlySmoking dependence: decreased significantly from baseline
Aherrera et al., 2017 (218)Cross sectional study of nickel and chromium concentrations in EC usersEC users (n = 59)Concentrations in urine, saliva, and breath: were below the limit of detection for nickel in 4.7%, 3.2% and 3.1% of samples, respectively, and for chromium in 7.8%, 1.6% and 56.3% of samplesWeekly consumption, time to first vape, voltage of device, number of coil changes per month, and levels in aerosol, dispenser, and tank had effectsNickel concentrations in urine were associated with time to first vape, coil changes, and concentrations in aerosol; in saliva were only associated with concentrations in aerosol and in tank, and in breath showed no associationsChromium in saliva was associated with cotinine in urine and concentrations in aerosol, tank, and dispenser
Wieslander et al., 2001 (231)Symptoms study after experimental exposure of healthy non-asthmatic volunteers to propylene glycol mist for 1 minHealthy volunteers (n = 27)Symptom VAS ratings: showed significant increase of ocular irritation, throat irritation, and dyspnoea but no effects on solvent smell or other symptomsLung function: FEV1, FVC, FEV1/FVC ratio, PEF did not change significantly from before to after exposureTear film stability: break-up time decreased significantly after exposure from 38 to 28 sDose response: throat dryness was 47% in the low exposure groupbut 100% in the high exposure group, where VAS ratings were also higher
Goniewicz et al., 2018 (219)Cross-sectional analysis of population in longitudinal Population Assessment of Tobacco and Health (PATH) study for biomarker concentrationsSmokers (n = 2411)EC users (n = 247)dual users (n = 792)never tobacco users (n = 1655)NNAL: concentrations were significantly lower in never-smokers than in EC users and in both groups compared with smokers (geometric mean 0.921 vs4.887 and 203.5 pg/mg creatinine), whereas dual users had higher levels than smokers (262.2 pg/mg creatinine)Other tobacco specific nitrosamines: NAT, NAB, and NNN in EC users were above the limit of quantification for 12%, 15% and 34%of samples, respectively and were all higher than those in never tobacco users but significantly lower than those in smokersMetal exposure: beryllium wasfound only in 3–9% of samples; cadmium was higher in EC users than in never tobacco users (0.193 vs 0.149 ng/mg creatinine) but lower than in smokers and dual users (0.277 and 0.280 ng/mg creatinine, respectively); lead was elevated in EC users compared to never users (0.432 vs 0.351 ng/mg creatinine) but was highest in smokers and dual users (0.500 and 0.479 ng/mg creatinine, respectively); strontium differed only between dual users and smokers (130.5 vs 113.7 ng/mg creatinine); and no differences in concentrations between groups were found for cobalt, manganese or thalliumTobacco alkaloids: anabasine and anatabine concentrations were significantly lower in EC users than in dual users or smokers but similar to those in never tobacco usersTotal inorganic arsenic: significantly higher in EC users than in smokers and dual users (0.053 vs 0.048 and 0.045 ug/mg creatinine) but not different to never tobacco users (0.054 ug/mg creatinine)PAHs: of seven biomarkers of PAHexposure only 1-hydroxypyrene was elevated in EC users compared to never tobacco users, while all were significantly higher in smokers and five were higher in dual usersVOCs: of 20 biomarkers four were significantly elevated in EC users compared with never tobacco users (AMCA 1.5 times, BMA 1.1 times, CYHA 1.3 times, and CYMA 3.0 times*), although CYHA could only be detected in 3% of never tobacco users and 14% of EC users; 17 biomarkers were higher in smokers than in EC users by 1.4–31.0 times
Oliveri et al., 2020 (234)Cross-sectional observational study comparing biomarkers of exposure and BOPH in ex-smoker (≥10 cigarettes per day for ≥10 years) EC users (≥6 months) with current smokersSmokers (n = 62)ex-smoker EC users (n = 132)Biomarkers of exposure: concentrations of total NNAL, nicotine equivalents, 3HPMA, and COHb were lower in EC users than smokersBOPH: of white blood cells, HDL cholesterol, 11-dehydrothromboxane B2, 8-epi-prostaglandin F2α, and sICAM-1, lower concentrations were found in EC users for 11-dehydrothromboxane B2 (471.4 vs 664.8 ng/g creatinine), 8-epi-prostaglandin F2α (288.6 vs374.1 ng/g creatinine), and sICAM-1 (224.5 vs266.4 ng/mL), although differences for the latter were observed only for cartridge based ECs and not tank-base ECs
Piper et al., 2019 (227)Baseline assessments for longitudinal observational cohort study (2 years) of smokers versus EC dual usersSmokers (n = 166)dual users (n = 256)In dual users, lower mean valueswere seen than in smokers for smoking duration (22.1 vs25.6 years), daily cigarette consumption (12.5 vs15.8), Fagerström nicotine dependence (4.15 vs 4.81), smoking within 30 min of waking (79.4% vs67.3%), and levels of NNAL (453.31 vs 340.99 pg/mL), whereas smoking starting age, motivation to quit, exhaled CO, the Wisconsin Inventory of Smoking Dependence Motives, and cotinine biomarkers did not differ significantly
Round et al., 2019 (223)Randomized, controlled, open-label, forced switch parallel group study in smokers of menthol and non-menthol cigarettes who switched to an EC or nicotine gum, to measure biomarkers of exposure after 5 daysSmoker to EC (n = 38)smoker to nicotine gum (n = 39)menthol smoker to menthol EC (n = 40)menthol smoker to nicotine gum (n = 41)In all switching groups, total nicotine equivalents in urine, cotinine in plasma, and all biomarkers of tobacco smoke exposure decreased except for 3-OH-B[a]P in the smoker to nicotine gum group (reductions were ECs 30.4–95.5%, menthol ECs 35.7–97.7%, and nicotine gum 20–99.2%)
Song et al., 2020Cross-sectional study of lung inflammation, measured by cell counts, cytokines, genome-wide gene expression and DNA methylation in bronchoalveolar lavage and brushings, in never smokers, EC users and smokersNever-smokers (n = 42)EC users (n = 15)smokers (n = 16)Most inflammatory cell counts and cytokine concentrations in EC users were intermediate between those of smokers and never-smokers, while most biomarkers were similar to those for never smokers, as were differential gene expression and DNA methylation

Comparison of metal levels in e-cigarette vapour versus cigarette smoke from published studies analysed_

CategoryDevice/CigaretteRegimeNo. of puffsMetalsUnitsSource

MercuryCadmiumLeadChromiumNickelArsenicSelenium
Cigarette1R6FHCI 4.6876.1BLQBLDBLDBLQBLDng/cigJaccard et al. (342)
Cigarette3R4FHCI 4.9293.2BLQBLDBLDBLQBLDng/cigJaccard et al. (342)
EC Gen 1Various70 / 1.8 / 10c150N/A0.01–0.220.03–0.57N/A0.11–0.29N/AN/Aμg/150 puffs aGoniewicz et al. (44)
Cig-a-like 10N/AN/A0.0170.0070.05N/AN/Aμg/10 puffs aWilliams et al. (123)
EC Gen 2/3Open tank N/A0.05–0.166.88–5410.39–15.61.32–21480.1–1.59N/Aμg/kgaZhao et al. (130)
EC Gen 3Liquids in referenceCRM81 N/A< 0.06< 0.05–0.12< 0.09–1.58< 1.08–1.54< 0.12–1.33N/Ang/puffaBelushkin et al. (116)
EC Gen 4Closed system N/A0.04–0.050.88–6.880.39–0.411.32–11.90.09–0.10N/Aμg/kgaZhao et al. (130)
myblubCRM81150BLQBLDBLDBLDBLQBLQ0.00024μg/puffO'Connell et al. (343)

Summary of pharmacokinetic, pharmacodynamic, vital signs profiles of combustible cigarettes, e-cigarettes (first to fourth generation), and nicotine-replacement therapy_

ReferenceProduct type (nicotine concentration)Pharmacokinetic parametersPharmacodynamic parametersVital signs



Cmax (ng/mL)Tmax (min)AUC (ng•min/mL)CravingsUrge to smokeSensory evaluation/satisfactionHeart rate (bpm)Systolic BP (mm Hg)Diastolic BP (mm Hg)
Combustible cigarettes
Digard et al., 2013 (195)Lucky Strike Red (14.6 mg)12.87.2014.8N/AN/AN/AN/AN/AN/A
Yan & D’Ruiz, 2015 (345)Marlboro Gold King Size (0.8 mg)15.84S29.23N/AN/AN/AN/AN/A4.26 increase in heart rate5.74 change in systolic BP6.78 change in diastolic BP
Ebajemito et al., 2020 (139)Benson & Hedges Sky14.5 (ad libitum)5.00660.0N/AN/AIncreased product satisfaction compared to e-cigarettesHeart rate increased and decreased in similar trends to PK profilesN/AN/A
Blue (7 mg ISO tar)13.7 (fixed puff)7.00631.0
First-generation e-cigarettes (cig-a-like)
Hajek et al., 2017 (346)Vuse (48 mg/mL);13.64.0244.9N/AN/AN/AN/AN/AN/A
Gamucci (16 mg/mL);9.76.0169.9
Blu (18 mg/mL);9.16.0173.1
Vype (16.8 mg/mL);8.56.0161.0
E-lites (24 mg/mL);7.86.0157.6
Puritane (20 mg/mL)7.54.0144.4
Bullen et al., 2010 (198)Ruyan V8 (16 mg/mL)1.319.6N/ANo difference in withdrawal symptoms between the e-cigarette and inhalatorGreater decrease in desire to smoke compared to 0 mg placebo (not significant when adjusted for multiple comparisons)N/AN/AN/AN/A
Vansickel et al., 2010 (347)NJOY NPRO (18 mg/mL); Hydro (16 mg/mL)N/AN/AN/ASome abstinence symptoms suppressedDecrease in urge to smoke compared to sham conditionNo effect on sensory evaluationNo significant change was reported between study productsN/AN/A
Nides et al., 2014 (202)NJOY King Bold (26 mg/mL)3.5–5.130 s–30 min0.67–0.57Reduction in craving with the highest decrease immediately after product use, followed by steady incremental increases in cravingN/AN/AHeart rate increased through the 10-min mark after the beginning first puffs, then gradually declined towards baseline. Mean increases in heart rate 5 and 10 min after the first series of puffs were 2.4 and 5.3 bpmN/AN/A
Yan & D’Ruiz, 2015 (345)Blu (16 mg/mL, two formulations); Blu (24 mg/mL, three formulations)10–17N/AN/AN/AN/AN/A1.87–4.09 bpm increase in heart rate following product use1.13–3.78change in systolic BP3.17–6.783change in diastolic BP
Farsalinos et al., 2014 (201)V2 (18 mg/mL)2.0 (fixed puff) and (ad libitum)N/AN/ASimilar levels to craving reduction observed compared to third-generation ECN/ABurning throat sensation was significantly lower compared to third-generation ECN/AN/AN/A
Voos et al., 2019 (348)V2 (11.7 mg/mL) Green smoke (19.4 mg/mL)4.071388.60N/ALow ratings on perceived smoking urge reliefLow satisfaction and sensory ratingsN/AN/AN/A
4.1610121.9
Second-generation e-cigarettes
Voos et al., 2019 (348)Mod iTazte (29.9 mg/mL)6.610272.3N/AProvided perceived smoking urge reliefHigh satisfactionrating, taste, pleasantness, harshness (“throat hit”), and speed of effectN/AN/AN/A
Hajek et al., 2017 (346)KangerTech EVOD (20 mg/mL)9.96.0200.6N/AN/AN/AN/AN/AN/A
Third-generation e-cigarettes
Farsalinos et al., 2014 (201)EVIC device with EVOD cartomizer (18 mg/mL)4.00 (defined) 21.0 (ad libitum)N/AN/ASimilar levels of craving reduction observed compared to first-generation ECN/ABurning throat sensation was significantly higher compared to first-generation ECN/AN/AN/A
Hajek et al., 2017 (346)Innokin (20 mg/mL)11.96232.1N/AN/AN/AN/AN/AN/A
Voos et al., 2019 (348)eGO V2 Pro (29.9 mg/mL)5.5210121.9N/AProvided fastest perceived urge relief compared to first- and second-generation ECHigh satisfaction rating, taste, pleasantness, harshness (“throat hit”), and speed of effect.N/AN/AN/A
Ebajemito et al., 2020 (139)Vype ePen (18 mg/mL)4.797.0267.0N/AN/APoor satisfaction compared to fourth-generation ECHeart rate increased and decreased in similar trends to PK profilesN/AN/A
Fourth-generation e-cigarettes
O’Connell et al., 2019 (140)myblu 25 mg/mL (free-base)5.058.0399.99N/AHigher Cmax was associated with greater relief on urge to smokeSimilar sensorial perception was reported across all productsN/AN/AN/A
myblu 16 mg/mL (salt);6.516.97118.5
myblu 25 mg/mL (salt);7.586.03125.2
myblu 40 mg/mL (salt);10.277.90190.7
blu PRO 48 mg/mL (salt)4.856.9184.84
Ebajemito et al., 2020 (139)Vype ePen3 18 mg/mL (freebase; ad lib);6.387.0325N/AN/AHigher Cmax was linked to increased satisfaction, except for the 30-mg/mL productHeart rate increased and decreased in similar trends to pharmaco-kinetic profilesN/AN/A
Vype ePen3 18 mg/mL (med salt; ad lib);10.85.0429
Vype ePen3 30 mg/mL (high salt; ad lib);14.15.0533
Vype ePen3 18 mg/mL (med salt; fixed puff);5.645.0326
Vype ePen3 12 mg/mL (low salt; ad lib)5.977.0284
Nicotine-replacement therapy
Digard et al., 2013 (195)Nicotine gum (4.2 mg)9.1045.013.1*N/AN/AAll products had little effect on the sensory parameter assessedN/AN/AN/A
Lunell & Curvall, 2011 (349)Nicotine Polarilex gum (4 mg)12.8N/A3190Craving decreased similarly to snusUrges to smoke decreased similarly with snusSalivation and throat burn were rated higher for the 4 mg gum vs snusMean 20 min increase of heart rate 9.3 (± 9.6), 8.9 (± 6.4), and 9.9 (± 5.1) bpm for 9.9 mg snus, 8.7 mg snus, and nicotine gum, respectivelyN/AN/A
Dautzenberg et al., 2007 (350)1 mg Nicotinell lozenges2.3066.08.30 *N/AN/AN/AN/AN/AN/A
2 mg Nicotinell lozenges4.8048.015.8 *
2 mg Nicorette gum2.9048.010.6 *
Choi et al., 2003 (351)4 mg nicotine lozenges10.866.044.0 *N/AN/AN/AN/AN/AN/A
4 mg nicotine gum10.054.034.6 *
Hansson et al., 2017 (199)6 mg nicotine gum13.830.046.2 *N/AN/AN/AN/AN/AN/A
4 mg nicotine gum10.130.030.2 *
2 mg nicotine gum5.9030.017.1 *
4 mg nicotine lozenge9.3045.035.3 *
Kraiczi et al., 2011 (352)1 mg nicotine mouth spray3.3010.06.60N/AN/AN/AN/AN/AN/A
2 mg nicotine mouth spray5.3012.512.2
4 mg nicotine mouth spray9.1010.023.7
4 mg nicotine lozenge7.0045.024.3
4 mg nicotine gum7.8030.021.1
Sukhija et al., 2018 (200)4 mg lozenges prototype I18.1866.087.13 *N/AN/AN/AN/AN/AN/A
4 mg lozenges prototype II18.1166.085.69 *
4 mg lozenges prototype III (I, II, III had different dissolutions)17.1166.084.59 *
4 mg Nicorette lozenges18.6766.090.03 *
Molander & Lunell, 2001 (353)2 mg nicotine sublingual tablet13.22012.4 *N/AN/AN/AN/AN/AN/A
2 mg Nicorette gum14.42013.5
Lunell et al., 2020 (354)4 mg Nicorette gum12.846.052.1N/AN/AN/AN/AN/AN/A
Bullen et al. (198)Nicorette inhalator (10 mg)2.1032.0N/ANo significant decrease in craving compared to placebo or first-generation ECNo significant decrease in craving compared to placebo or first-generation ECN/AN/AN/AN/A
Goldenson et al. (355)Fixed puff N/AN/A59 mg/mL silica wick provided highest level of satisfaction followed by 18 mg/mL silica wick, 18 mg/mL coil wick and 9 mg/mL coil wickN/AN/AN/A
JUUL 59 mg/mL with silica wick9.36.25.0 *
JUUL 18 mg/mL with silica wick3.26.31.7 *
JUUL 18 mg/mL with cotton wick3.35.81.8 *
JUUL 9 mg/mL with cotton wick2.16.61.2 *
Ad libitum puff
JUUL 59 mg/mL with silica wick8.36.44.6 *
JUUL 18 mg/mL with silica wick3.56.51.8 *
JUUL 18 mg/mL with cotton wick3.37.12.1 *
JUUL 9 mg/mL with cotton wick2.36.71.2 *

Mouthpiece-based ad libitum topography measurement of various electronic cigarette types_

ReferenceElectronic cigarette typeMode of activationTopography deviceMean (± SD) puff characteristics


No. of piecesComponentsRechargeable deviceRefillable cartridgeDescriptionNo. of puffs per sessionPuff volume (mL)Puff duration (s)Puff interval (s)
Behar et al., 2015 (359)1All-in-oneNoNoBluPuff actuatedCReSSmicro33 (± 8)56 (± 22)2.75 (± 0.96)16.9 (± 8.2)
Cunningham et al., 2016 (320)1All-in-oneYesNoCig-a-likePuff actuatedModified SA721.1 (± 14.9)52.2 (± 21.6)2.0 (± 0.7)23.2 (± 10.6)
Norton et al., 2014 (360)2Battery & cartomizerYesNoCig-a-likePuff actuatedCReSSmicro8.7 (± 1.6)118.2 (± 13.3)3.0 (± 1.6)29.6 (± 11.7)
Lee et al., 2015 (361)2Battery & cartomizerYesNoCig-a-likePuff actuatedCReSSmicro21.3 (± 2.4)63.3 (± 23.4)2.9 (± 0.9)22.1 (± 22.0)
Behar et al., 2015 (359)2Battery & cartomizerYesNoV2Puff actuatedCReSSmicro31 (± 8)45 (± 22)2.54 (± 1.04)18.9 (± 7.3)
Cunningham et al., 2016 (320)2Battery & cartomizerYesNoVype ePenButton activatedModified SA716.1 (± 8.0)83.0 (± 44.3)2.2 (± 0.9)29.3 (± 19.2)
Jones et al., 2020 (322)2Battery & cartomizerYesNoIS1.0(T)Button activatedModified SA763.6 (± 36.2)41.2 (± 17.0)1.5 (± 0.6)23.3 (± 17.3)

Connected e-cigarette-based ad libitum topography measurement of various e-cigarette types_

ReferenceElectronic cigarette typeMode of activationTopography deviceMean (± SD) puff characteristics


No. of piecesComponentsRechargeable deviceRefillable cartridgeDescriptionNo. of puffs per sessionPuff volume (mL)Puff duration (s)Puff interval (s)
Robinson et al., 2015 (362)2Battery & cartomizerYesNoClosedPuff actuatedWireless personal use monitor225 ± 59133 ± 903.5 ± 1.842.7 ± 12.1
Robinson et al., 2016 (363)2Battery & cartomizerYesNoClosedPuff actuatedWireless personal use monitor78 ± 16265.4 ± 24.82.0 ± 0.6NR
Dawkins et al., 2016 (364)3Battery, cartridge & atomizerYesYesModPuff actuatedConnected e-cigarette70.7 ± 34.4per sessionNR5.2 ± 1.4NR
Farsalinos et al., 2018 (344)3Battery, cartridge & atomizerYesYesModPuff actuatedConnected e-cigarette57 ± 14.9per sessionNR4.6 ± 1.0NR
Lee et al., 2018 (365)2Battery & cartomizerYesNoClosedPuff actuatedWireless personal use monitor13.7per session110.313.738.1
Language: English
Page range: 63 - 108
Submitted on: Feb 9, 2021
Accepted on: May 4, 2021
Published on: May 20, 2021
Published by: Institut für Tabakforschung GmbH
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Oscar M. Camacho, James K. Ebajemito, Steven Coburn, Krishna Prasad, Sandra Costigan, James J. Murphy, published by Institut für Tabakforschung GmbH
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

Volume 30 (2021): Issue 2 (May 2021)