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. 2020 Dec 3;238(3):825–831. doi: 10.1007/s00213-020-05734-2

Nicotine delivery and user reactions to Juul EU (20 mg/ml) compared with Juul US (59 mg/ml), cigarettes and other e-cigarette products

Anna Phillips-Waller 1,, Dunja Przulj 1, Katie Myers Smith 1, Francesca Pesola 1, Peter Hajek 1
PMCID: PMC7914237  PMID: 33270145

Abstract

Rationale

The degree to which the EU version of Juul with 20 mg/ml nicotine (Juul EU) delivers nicotine to users is likely to determine its treatment potential.

Objectives

To compare the pharmacokinetic profile and user ratings of Juul EU, Juul US (59 mg/ml nicotine), cigarettes and other e-cigarette (EC) products.

Methods

In a within-subjects crossover design, 18 vapers used, at separate sessions, their own brand cigarette (OBC), Juul US and Juul EU for 5 min ad libitum, after overnight abstinence. Seven of the participants also tested eight other EC previously. Blood samples were taken at baseline and 2, 4, 6, 8, 10 and 30 min after initiating product use. Products were rated on a range of characteristics.

Results

Juul EU delivered less nicotine than OBC (t(13) = −4.64 p < .001) and than Juul US (t(13) = −6.40, p < .001): AUC0 ≥ 30 77.3, 324.8 and 355.9, respectively. Maximum nicotine concentration (Cmax) was also much lower for Juul EU than Juul US (z = −3.59, p < .001): Cmax 3.8 ng/ml vs 21.1 ng/ml, respectively. Juul EU was perceived to relieve urges to smoke less than Juul US (z = −2.29, p = .022) and to provide less nicotine (z = −2.57. p = 0.010). Juul EU delivered less nicotine than refillable EC (Cmax: t(6) = 3.02, p = 0.023; AUC0 ≥ 30: z = −2.20, p = 0.028) and also less than cig-a-like EC, though the difference did not reach significance (Cmax: t(6) = 2.49, p = 0.047; AUC0 ≥ 30: z = −1.99, p = 0.046). Subjective ratings of Juul EU and other EC products were similar.

Conclusions

Juul EU delivers much less nicotine to users than Juul US, and also less than refillable EC products. It may thus have more limited potential to help smokers quit.

Keywords: E-cigarettes, Juul, Nicotine, Nicotine delivery, Pharmacokinetic, Tobacco

Introduction

The US version of JUUL (‘Juul US’), a novel ‘pod’ based e-cigarette (EC), is currently the most popular EC in the USA (Kavuluru et al. 2019; King et al. 2018). Although it has several innovative features, the main reason for its popularity is likely to be its nicotine salt formulation, which is thought to make nicotine inhalation less irritating (Bowen and Xing 2015; Hajek et al. 2020), and thus allows the device to use a high nicotine concentration (59 mg/ml), a level that would be too irritating if used in traditional e-liquids.

We have recently demonstrated that with ad-lib use, nicotine delivery from Juul US is similar to that from cigarettes and that it is faster and higher than nicotine delivery from other ECs, despite participants taking fewer puffs from Juul US (Hajek et al. 2020). The product also received higher user ratings than other EC types. The implication of these findings is that Juul US may be more effective than other ECs in helping smokers to quit smoking but that it could also have greater addictive potential.

In the UK, the Tobacco Products Directive 2014/14/EU (TPD), introduced in May 2016, prohibits nicotine concentrations in e-liquid of over 20 mg/ml (Medicine and Healthcare products Regulatory Agency 2020). For this reason, Juul marketed in Europe (‘Juul EU’) uses nicotine concentration of maximum 20 mg/ml. This version delivers only about a third of nicotine into aerosol compared with Juul US (Talih et al. 2020). Delivery to users, however, is not known. Nicotine users can titrate nicotine intake by altering the frequency of puffing and depth of inhalation (Soar et al. 2019). It is thus possible that the lower delivery Juul EU could still provide nicotine levels that smokers seek.

We examined the pharmacokinetic (PK) profile of Juul EU, when used ad-lib by experienced vapers, and compared its parameters with those of Juul US, own-brand cigarettes, and other types of EC.

Methods

Study design

Within subjects, crossover design to determine the PK profile of Juul EU, and compare it with that of Juul US, cigarettes and other EC products, and to compare the different products in their effects on urge to smoke and product ratings.

Participants

Eighteen healthy adults were recruited via social media and word of mouth. Participants were eligible if they were current daily vapers who smoked cigarettes at least occasionally and were willing to test a series of EC products and give blood samples.

Procedures

Participants gave written informed consent and attended the laboratory after abstaining from smoking and vaping overnight. Abstinence from smoking was verified with a carbon monoxide (CO) reading of less than 10 ppm (ppm).

At the first session, participants smoked their own brand cigarette (OBC), which they provided. Juul US was tested at the next session, followed by Juul EU. Each session had at least 1 week wash out period before the next. Seven of the 18 participants also tested eight other ECs, as a part of an earlier study (Hajek et al. 2018; Hajek et al. 2017).

At each session an intravenous blood sampling line was placed in the participant’s arm, and a baseline sample of up to 5 ml was taken. Participants were then asked to smoke/vape (depending on which product was being tested) as much or as little as they wanted for 5 min. This is the time it usually takes to smoke a cigarette. Further samples of up to 5 ml each were then taken at 2, 4, 6, 8, 10 and 30 min after product initiation.

Blood samples were stored at −20C for up to 7 days before being transported to the laboratory for analysis.

The sessions took place between 7.30 am and 9.30 am depending on participant preferences and lasted approximately 1 h. Participants received £60 for each session.

Measures

Demographic, smoking and vaping data were collected at the first session. Number of puffs were counted for each product tested. At each session, a baseline urge to smoke was rated (before product use) on a scale of 1 to 10, where 1 = no urge at all and 10 = extreme urge. Subsequent ratings were given 5, 10, 15 and 30 min after product initiation.

At all sessions the following questions were asked about the product used (rated on a scale of 1–10): ‘Did it relieve your urge to smoke?’ [not at all = 1, extremely well = 10]; ‘How quickly did any effect happen?’ [very slowly = 1, extremely fast = 10]; ‘How much nicotine do you think it delivered?’ [too little = 1, just right = 5, too much = 10]; ‘Did you like the taste?’ [not at all = 1, extremely = 10]; ‘Was it pleasant to use?’ [not at all = 1, extremely = 10]; ‘How likely would you be to recommend it to friends?’ [not at all = 1, extremely = 10] (the last question was not asked at the OBC session).

Nicotine in blood samples was analysed at ABS Laboratories Ltd., Bio Park (Welwyn Garden City, UK), using capillary column gas chromatography with detection by electron impact mass spectrometry and selected ion monitoring (Jacob III et al. 2011). The PK parameters calculated were maximum nicotine concentration (Cmax), time to the maximum (Tmax) and area under the curve (AUC0 ≥ 30), which is a measure of the total nicotine delivery over 30 min.

Study products

Participants brought their OBC to test at the first session. Juul US (59 mg/ml nicotine content) and Juul EU (20 mg/ml nicotine content) were available with differently labelled tobacco flavours: Virginia Tobacco flavour in the case of Juul US and Golden Tobacco flavour in the case of Juul EU (JUUL Labs).

For the seven participants who previously tested eight traditional EC, tobacco flavour was used with nicotine contents as close to 20 mg/ml as possible, with the exception of Vuse (48 mg/ml), which was the highest nicotine concentration available at the time. The other products tested were five cig-a-likes: Blu (18 mg/ml), Vype (16.8 mg/ml), Puritane (20 mg/ml), E-lites (24 mg/ml) and Gamucci (16 mg/ml) and two refillables: KangerTech EVOD and InnokiniTaste MVP 2 (variable voltage), set to 4.8 V (range = 3.3–5.0 V). The refillable products were tested with the same 20 mg/ml tobacco flavour liquid (see Hajek et al. 2018; Hajek et al. 2017). All products were tested in the same order.

Statistical analysis

PKSolver add-in for Excel version 2.0 (Zhang et al. 2010) was used to calculate Cmax, Tmax and AUC0 ≥ 30, using a non-compartmental analysis and trapezoidal rule (Gabrielsson and Weiner 2001). The post product use blood samples were corrected for baseline nicotine levels.

Differences in post product use blood samples between Juul EU and Juul US and Juul EU and cigarette were analysed using t tests or a non-parametric equivalent when parametric assumptions were not met. We applied the Bonferroni correction for type I error.

Differences in product characteristics between Juul EU and Juul US, Juul EU and refillable EC and Juul EU and cig-a-like EC were analysed using t tests if parametric assumptions were met or Wilcoxon signed-rank test if not. We applied the Bonferroni correction for type I error where required.

Regarding changes in urges to smoke after product use (Juul EU and Juul US), we examined the main effects of Time and Product as well the Time*Product interaction on urges to smoke over the 30-min testing period using a mixed effect model, adjusting for baseline urge scores, with participants treated as the cluster. We also used random slopes and intercepts to account for repeated measures. The Wald test was used to assess the overall significance of Time, product and the Time*Product interaction.

We assessed the normality assumption using the Shapiro-Wilks test and through visual inspection of probability plots. For the mixed effect model, we visually assessed the assumption of homoscedasticity by plotting the standardized residuals against the fitted values. All analyses were performed with SPSS version 25 apart from the mixed-effect regression, which was run in Stata 16.

The project was approved by the QMUL Ethics of Research Committee on 3 April 2018 (QMERC2018/09).

Results

Participant characteristics are show in Table 1. Seventeen (94%) participants were using refillable ECs.

Table 1.

Participant characteristics (N = 18)

Age, median (IQR) 29.5 (25.8–41.0)
Male, N (%) 16 (88.9)
Higher Education, N (%) 11 (61.1)
Cigarettes smoked per day before starting EC use, median (IQR) 13.5 (5.8–20.0)
Fagerstrom Test for Cigarette Dependence (FTCD) before EC use, median (IQR) 4.0 (1.8–6.3)
Cigarettes smoked per day when joining the study, median (IQR) 0.7 (0.6–1.6)
Current nicotine strength liquid/cartridges used (mg/ml), median (IQR) 12.0 (5.3–17.3)
Millilitres of e-liquid used per day, median (IQR), N = 17 2.0 (1.2–4.2)
Number of months using EC daily, median (IQR) 12.0 (3.5–39.3)
Days EC used in last week, median (IQR) 7.0 (7.0–7.0)

Comparison of Juul EU, Juul US and own brand cigarettes in nicotine delivery

Juul EU delivered nicotine much more slowly and at lower levels than Juul US and cigarettes (see Fig. 1).

Fig. 1.

Fig. 1

PK profiles of Juul EU, Juul US and own brand cigarette (N = 18) (mean scores with 95% CIs)

Table 2 shows the PK characteristics of Juul EU, Juul US and own brand cigarette, together with the number of puffs taken from each product during the 5 min of use. Maximum nicotine concentration (Cmax) of Juul EU was significantly lower than both Juul US and own brand cigarette, as was total nicotine delivery over 30 min (AUC0 ≥ 30). The difference between Juul EU and Juul US in time to maximum nicotine concentration did not reach statistical significance.

Table 2.

Nicotine delivery and number of puffs taken from own brand cigarette, Juul EU and Juul US (N = 18)

Product Median no. of puffs (IQR) Median Cmax
(IQR)
Median Tmax a
(IQR)
Mean AUC0 ≥ 30 a
(SD), N = 14 b
Cigarette

13.5

(10.8–17.3)

12.9

(8.0–35.6)

5 (4–8) 324.8 (208.9)
Juul EU

15.5

(12.8–21.3)

3.8

(2.5–7.5)

6 (4–8) 77.3 (31.0)
Juul US

14.5

(10.0–21.5)

21.1

(9.9–36.3)

4 (2–6) 355.9 (173.7)
Difference between Juul EU and the other productsc

Juul US: z = −0.76, p = 0.447

Cigarette: z = −1.83, p = 0.067

Juul US: z = −3.59, p < .001

Cigarette: z = −3.64, p < .001

Juul US: z = −1.82, p = 0.068

Cigarette: z = −0.52, p = 0.605

Juul US: t(13) = −6.40, < .001

Cigarette: t(13) = −4.64, p < .001

aMedian Tmax values and mean AUC0 ≥ 30 values that were used to compare products statistically differ slightly from values in Fig. 1estimated by PK Solver because the comparisons used means across individuals whereas PK Solver calculates means across time-points

bAUC0 ≥ 30 could not be calculated for four participants as the 30 min blood sample could not be collected

cSignificance threshold set at 0.025 due to multiple testing

Over all the test sessions, four participants had baseline nicotine levels of over 10 ng/ml at one or more sessions, indicating nicotine intake late at night or prior to the session. Excluding these participants in a sensitivity analysis did not change the results (Juul EU Cmax versus Cigarette Cmax, Z = -3.17, p = 0.002; Juul US Cmax versus Juul EU Cmax, Z = -3.30, p = 0.001; Cigarette AUC0 ≥ 30 versus Juul EU AUC0 ≥ 30, t(11) = 4.28, p = 0.001; Juul EU AUC0 ≥ 30 versus Juul US AUC0 ≥ 30, t(11) = −5.41, p < .001).

Table 3 compares participant reactions to Juul EU and Juul US. Juul EU relieved urges to smoke less than Juul US, and was perceived to deliver less nicotine.

Table 3.

Participant ratings of Juul EU and Juul US (N = 18)

Product characteristic Juul EU Juul US Difference
Did it relieve your urge to smoke (1–10), median (IQR) 8.5 (6.8–9.3) 9.0 (7.8–10.0) z = −2.29, p = 0.022
How quickly did any effect happen? (1–10), median (IQR) 7.5 (6.0–8.0) 7.5 (7.0–9.0) z = −1.27, p = 0.205
Subjective nicotine delivery (1 = too little, 5 = just right, 10 = too much), median (IQR) 5.0 (4.0–5.3) 5.5 (5.0–7.3) z = −2.57, p = 0.010
Taste (1–10), mean (SD) 5.9 (2.2) 5.9 (2.6) t(17) = 0.00, p = 1.00
Pleasantness (1–10), median (IQR) 8.0 (7.0–9.3) 7.0 (6.0–9.3) z = −0.54, p = 0.592
Recommend (1–10), median (IQR) 7.0 (5.0–9.3) 7.0 (6.0–9.3) z = −1.37, p = 0.170

Figure 2 shows changes in urges to smoke over time after using Juul US and Juul EU. The mixed model analysis showed a main effect of time (Wald ×2(3) = 22.3, p < .001). Urges to smoke decreased 5 min after product use initiation, and subsequently increased, but not up to baseline levels. Ratings were lower when using Juul US (vs. Juul EU), but the difference did not reach significance for the main effect of product (Wald ×2(1) = 3.8, p = 0.052). There was no interaction effect between product and time (Wald ×2(3) = 0.6, p = 0.91).

Fig. 2.

Fig. 2

Effects of Juul EU and Juul US on urges to smoke over time

Comparison of Juul EU with other EC products

Figure 3 shows the PK profiles of Juul EU, Juul US and the traditional EC products. The traditional ECs are grouped into cig-a-like and refillable. Vuse, which has a much higher e-liquid nicotine content (48 mg/ml), is shown separately.

Fig. 3.

Fig. 3

PK profiles of Juul EU, Juul US and eight traditional EC products (N = 7) (mean scores with 95% CIs)

Among these 7 participants, Juul EU had a significantly lower Cmax than refillable EC and also lower than cig-a-like, though not significantly so. Tmax did not differ significantly. There were no differences in number of puffs taken. Differences in total nicotine delivery approached but did not reach significance levels (see Table 4).

Table 4.

Nicotine delivery and number of puffs taken from Juul EU, refillable and cig-a-like ECs (N = 7)

Product Median no. of puffs (IQR) Mean Cmax
(SD)
Mean Tmaxa
(SD)
Median AUC0 ≥ 30a
(IQR), N = 6b
Juul EU 13.0 (11.0–16.0) 5.5 (3.4) 5.4 (2.5) 89.8 (71.4–106.9)
Refillable EC 14.5 (13.5–19.0) 10.5 (5.3) 10.0 (8.9) 203.2 (165.7–268.9)
Cig-a-like EC 15.8 (14.6–22.4) 8.0 (3.8) 8.1 (5.5) 136.6 (93.5–188.9)
Difference between Juul EU and the other productsc

Refillable:

z = −0.51, p = 0.611

Cig-a-like:

z = −1.52, p = 0.128

Refillable: t(6) = 3.02, = 0.023

Cig-a-like: t(6) = 2.49, p = 0.047

Refillable: t(6) = 1.30, p = 0.241

Cig-a-like: t(6) = 1.20, p = 0.275

Refillable:

z = −2.20, p = 0.028

Cig-a-like:

z = −1.99, p = 0.046

aMedian Tmax values and mean AUC0 ≥ 30 values that were used to compare products statistically differ slightly from values in Fig. 3estimated by PK Solver because the comparisons used means across individuals whereas PK Solver calculates means across time-points

bAUC0 ≥ 30 could not be calculated for one participant as the 30 min blood sample could not be collected

cSignificance threshold set at 0.025 due to multiple testing

Over these product testing sessions, one participant had a baseline nicotine level of over 10 ng/ml. A sensitivity analysis was carried out with this participant excluded. There was no longer a significant difference in Cmax between Juul EU and refillable EC: t(5) = 2.69, p = 0.043. Other results did not change.

Regarding product ratings, there was no significant difference between Juul EU and either cig-a-like or refillable EC on any measures (Table 5).

Table 5.

Ratings of Juul EU and traditional ECs (N = 7)

Product characteristic Refillable EC Cig-a-like EC Juul EU Difference between Juul EU and other productsa
Did it relieve your urge to smoke? (1–10), median, (IQR) 9.5 (7.5–10.0) 8.4 (6.2–9.2) 9.0 (7.0–10.0)

Refillable: z = −1.38, p = 0.168

Cig-a-like: z = −0.34, p = 0.734

How quickly did any effect happen? (1–10), mean (SD) 8.0 (1.1) 7.2 (1.3) 7.3 (1.5)

Refillable: t(6) = 1.22, p = 0.269

Cig-a-like: t(6) = −0.15, p = 0.886

Subjective nicotine delivery (1 = too little, 5 = just right, 10 = too much), median (IQR) 6.5 (6.0–7.5) 5.4 (5.0–6.6) 5.0 (4.0–5.0)

Refillable: z = −2.23, p = 0.026

Cig-a-like: z = −1.52, p = 0.128

Taste (1–10), median (IQR) 5.5 (4.0–6.0) 5.4 (4.8–6.4) 6.0 (5.0–7.0)

Refillable: z = −0.85, p = 0.395

Cig-a-like: z = −0.68, p = 0.498

Pleasantness (1–10), median (IQR) 5.5 (4.5–7.5) 6.0 (5.6–7.2) 7.0 (5.0–9.0)

Refillable: z = −0.42, p = 0.674

Cig-a-like: z = −0.51, p = 0.610

Would recommend to friends (1–10), mean (SD) 6.5 (1.7) 5.3 (2.0) 6.1 (3.3)

Refillable: t(6) = 0.24, p = 0.816

Cig-a-like: t(6) = −0.63, p = 0.551

aSignificance threshold set at 0.025 due to multiple testing

Discussion

When used ad lib over 5 min, the European version of Juul delivers much less nicotine to users than cigarettes and than the US Juul version. Juul EU’s Cmax is also lower than that from refillable EC products used with the same nicotine concentration in e-liquid. Nicotine delivery from Juul EU was also marginally lower than that from cig-a-like products, which use similar battery power, although the difference was not significant. When used with a low nicotine concentration, the nicotine salt formulation does not seem to lead to improved nicotine delivery.

The difference in nicotine delivery between Juul EU and Juul US was reflected in participants’ subjective ratings of how much nicotine the products delivered (although the lower nicotine delivery from Juul EU was not perceived as a negative feature). This awareness of nicotine levels contrasts with our previous studies (Hajek et al. 2018; Hajek et al. 2017) where participants did not detect the nicotine content of EC well, not even the high nicotine content of Juul US, when used for the first time. We hypothesised that the nicotine salt formulation may have blunted sensory cues to Juul US’ high nicotine content (Hajek et al. 2020). With low nicotine delivery, the difference was noted.

Regarding sensory effects, the nicotine salt formulation is expected to reduce irritant effects of inhaled nicotine (Bowen and Xing 2015). We previously reported that Juul US was rated as more pleasant and more likely to be recommended to other smokers than other EC products (Hajek et al. 2020). In contrast, Juul EU did not differ in these ratings from other EC products. The benefit of the nicotine salt formulation on user experience may be seen only when high nicotine concentrations are used.

Corresponding with the lower nicotine delivery, Juul EU was also perceived to reduce urges to smoke less than Juul US. The differences in post product use ratings of urges to smoke trended in the same direction, but it did not reach significance.

Juul EU’s nicotine delivery was marginally lower than that from the first generation cig-a-like EC products, though on the reduced sample available for this comparison, the difference did not reach significance. Cig-a-like ECs are now rarely used, especially by established vapers (ASH 2019). Despite retaining the ease of use and the discrete appearance of Juul US, our results suggest that Juul EU is likely to be less appealing to smokers. Given the nicotine delivery profile and effects on urges to smoke, it may be less effective in helping smokers quit then Juul US, and probably also less than refillable EC products.

The findings support questions raised about the rationale of the nicotine content limit for e-cigarettes, stipulated in the EU TPD (Medicine and Healthcare products Regulatory Agency 2020). The regulation allows cigarettes to deliver the nicotine levels that smokers seek, but disallows much less risky competitive products to do so. The consequence of this could be that at least some smokers who could have switched to less dangerous alternatives with comparable nicotine delivery are unable to access them.

The study has several limitations. The sample comprised mostly of males. The sample size for the comparisons with other EC products was relatively small, although not unusually so for this type of study, and the differences in Cmax and AUC0 ≥ 30 were significant, despite the subsample showing lower nicotine values than the full original sample (Hajek et al. 2017). Participants tested the two Juul products in the same order, and so order effects cannot be ruled out, although there was a gap of several months between the two sessions. The participants could see the products they were using. They were provided with no product information to avoid potential biases, but if they had any preconceived ideas about any of the products, this could have affected some of the results. The study tested product use ad libitum, to provide an approximation of real life use, rather than using a puffing schedule, that would provide information on nicotine intake per puff.

In conclusion, Juul EU does not deliver nicotine as effectively as either Juul US, or refillable EC, and may thus have more limited potential in helping smokers stop smoking.

Acknowledgement of funding

The study was funded by a Tobacco Advisory Group project grant, Cancer Research UK (ref: C49913/A25756). The funder was not involved in the development of the original concept and systematic review of existing trial evidence, the design, the choice of investigators, the conduct of the trial, the collection and monitoring of data, the analysis and interpretation, and the writing or approval of the report. The authors have full control of all primary data and agree to allow the journal to review the data if requested.

Declaration of interests

PH has received research funding from and provided consultancy to Pfizer, a manufacturer of stop-smoking medications. DP has received research funding from Pfizer. Other authors have nothing to declare.

Footnotes

Publisher’s note

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

References

  1. ASH. (2019). Use of e-cigarettes (vaporisers) among adults in Great Britain. Retrieved fromhttps://ash.org.uk/wp-content/uploads/2019/09/Use-of-e-cigarettes-among-adults-2019.pdf
  2. Bowen A, Xing C. Nicotine salt formulations for aerosol devices and methods thereof: Google patents. 2015. [Google Scholar]
  3. Gabrielsson J, Weiner D. Pharmacokinetic and pharmacodynamic data analysis: concepts and applications: CRC press. 2001. [Google Scholar]
  4. Hajek P, Przulj D, Phillips A, Anderson R, McRobbie H. Nicotine delivery to users from cigarettes and from different types of e-cigarettes. Psychopharmacology. 2017;234(5):773–779. doi: 10.1007/s00213-016-4512-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Hajek P, Przulj D, Phillips-Waller A, Anderson R, McRobbie H. Initial ratings of different types of e-cigarettes and relationships between product appeal and nicotine delivery. Psychopharmacology. 2018;235(4):1083–1092. doi: 10.1007/s00213-017-4826-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Hajek P, Pittaccio K, Pesola F, Myers Smith K, Phillips-Waller A, Przulj D. Nicotine delivery and users’ reactions to Juul compared with cigarettes and other e-cigarette products. Addiction. 2020;115:1141–1148. doi: 10.1111/add.14936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Jacob P, III, Yu L, Duan M, Ramos L, Yturralde O, Benowitz NL. Determination of the nicotine metabolites cotinine and trans-3′-hydroxycotinine in biologic fluids of smokers and non-smokers using liquid chromatography–tandem mass spectrometry: biomarkers for tobacco smoke exposure and for phenotyping cytochrome P450 2A6 activity. J Chromatogr B. 2011;879(3–4):267–276. doi: 10.1016/j.jchromb.2010.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Kavuluru R, Han S, Hahn EJ. On the popularity of the USB flash drive-shaped electronic cigarette Juul. Tob Control. 2019;28(1):110–112. doi: 10.1136/tobaccocontrol-2018-054259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. King BA, Gammon DG, Marynak KL, Rogers T. Electronic cigarette sales in the United States, 2013-2017. Jama. 2018;320(13):1379–1380. doi: 10.1001/jama.2018.10488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Medicine & Healthcare products Regulatory Agency (2020). E-cigarettes: regulations for consumer products. MHRA Retrieved fromhttps://www.gov.uk/guidance/e-cigarettes-regulations-for-consumer-products
  11. Soar K, Kimber C, McRobbie H, Dawkins L. Nicotine absorption from e-cigarettes over 12 months. Addict Behav. 2019;91:102–105. doi: 10.1016/j.addbeh.2018.07.019. [DOI] [PubMed] [Google Scholar]
  12. Talih S, Salman R, El-Hage R, Karam E, Salam S, Karaoghlanian N, et al. A comparison of the electrical characteristics, liquid composition, and toxicant emissions of JUUL USA and JUUL UK e-cigarettes. Sci Rep. 2020;10(1):1–4. doi: 10.1038/s41598-019-56847-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Zhang Y, Huo M, Zhou J, Xie S. PKSolver: an add-in program for pharmacokinetic and pharmacodynamic data analysis in Microsoft excel. Comput Methods Prog Biomed. 2010;99(3):306–314. doi: 10.1016/j.cmpb.2010.01.007. [DOI] [PubMed] [Google Scholar]

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