scholarly journals A Prototypical First-Generation Electronic Cigarette Does Not Reduce Reports of Tobacco Urges or Withdrawal Symptoms among Cigarette Smokers

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Arit M. Harvanko ◽  
Catherine A. Martin ◽  
Richard J. Kryscio ◽  
William W. Stoops ◽  
Joshua A. Lile ◽  
...  

It is unknown whether first-generation electronic cigarettes reduce smoking urges and withdrawal symptoms following a 24 h deprivation period. This study tested whether a first-generation electronic cigarette reduces smoking urges and withdrawal symptoms in cigarette smokers. Following 24 h of tobacco deprivation, using a within-subjects design, eight nontreatment seeking tobacco cigarette smokers (3 females) administered 10 puffs from a conventional cigarette or a first-generation electronic cigarette containing liquid with 0, 8 or 16 mg/ml nicotine. Conventional cigarettes ameliorated smoking urges and electronic cigarettes did not, regardless of nicotine concentration. First-generation electronic cigarettes may not effectively substitute for conventional cigarettes in reducing smoking urges, regardless of nicotine concentration.

2018 ◽  
Vol 46 (2) ◽  
pp. 197-203 ◽  
Author(s):  
Rose S. Bono ◽  
Andrew J. Barnes ◽  
Rebecca C. Lester ◽  
Caroline O. Cobb

Understanding how two characteristics—flavors and modified risk messages—affect perceptions and subjective effects of electronic cigarettes (e-cigarettes) can inform tobacco control efforts. In two within-subjects studies ( N = 17 and N = 19), the effects of e-cigarette flavors (tobacco vs. menthol and unflavored vs. cherry) and hypothetical modified risk messages (“reduced harm relative to cigarettes” vs. no message and “reduced carcinogen exposure relative to cigarettes” vs. no message) on cigarette smokers’ perceptions of e-cigarettes were measured after participants self-administered condition-specific products (own-brand cigarettes; e-cigarettes). Perceptions/subjective effects were tested using linear mixed-effects regressions. Cigarettes were perceived as most harmful but rated more positively than e-cigarettes ( ps < .05). Cherry and menthol e-cigarettes increased perceived pleasantness, taste, and physical sensations compared with unflavored and tobacco-flavored e-cigarettes, respectively ( ps < .05). Modified risk messages were associated with reduced ratings of aversive effects ( ps < .05) but not harm perceptions. Overall, few perceptions/subjective effects differed by e-cigarette flavor or message. Flavors and messages may have some influence on how smokers experience e-cigarettes.


2015 ◽  
Vol 18 (5) ◽  
pp. 720-723 ◽  
Author(s):  
Alexa A. Lopez ◽  
Marzena M. Hiler ◽  
Eric K. Soule ◽  
Carolina P. Ramôa ◽  
Nareg V. Karaoghlanian ◽  
...  

2020 ◽  
Vol 75 (11) ◽  
pp. 17
Author(s):  
Theodoros Kelesidis ◽  
Elizabeth Tran ◽  
Karishma Lakhani ◽  
Sara Arastoo ◽  
Rachel Heymans ◽  
...  

2015 ◽  
Vol 35 (2) ◽  
pp. 179-185 ◽  
Author(s):  
A. Marsot ◽  
N. Simon

Background: Since their introduction in 2004, electronic cigarettes (e-cigarettes) have gained popularity worldwide. E-cigarettes are marketed as nicotine delivery devices. Commonly reported reasons for use include to quit smoking, to reduce urge to smoke, or the perceived lower risk alternative to smoking. But what are the actual amounts of nicotine delivered? Aim: This review summarizes all the published studies concerning nicotine or cotinine levels following e-cigarette use. Methods: A literature search was conducted from the PubMed database, from 1985 to January 2014, using the following terms: electronic cigarette(s), e-cigarette(s), electronic nicotine delivery system, cotinine, and nicotine. Articles were excluded if they were not pertinent according to our criteria. References of all relevant articles were also evaluated. Results: Eight studies were included in this review. The following information was extracted from the articles: population size, age of participants, recruitment, inclusion and exclusion criteria, concentration of nicotine in refills liquids, study sample design, and observed concentrations. Following design of studies, plasma nicotine Cmax was observed between 0 and 5 ng/mL (no significant changes) or between 13.9 and 16.3 ng/mL (similar to a tobacco cigarette) with a Tmax between 70 and 75 minutes. Cotinine levels after “vaping” an e-cigarette are similar to a tobacco cigarette. Conclusion: This review summarizes e-cigarette studies that contain information on nicotine or cotinine levels. The peak concentration of nicotine appears to be dependent on the use and dose level of e-cigarette cartridge. The value of this peak concentration is similar to the value found with a tobacco cigarette. However, the time corresponding to the peak concentration is delayed compared to a tobacco cigarette.


2020 ◽  
Vol 106 (3) ◽  
pp. 229-240
Author(s):  
Silvano Gallus ◽  
Elisa Borroni ◽  
Xiaoqiu Liu ◽  
Laura Carrozzi ◽  
Gianfranco Dalla Pietra ◽  
...  

Objective: Information is scanty on the patterns and settings of electronic cigarette use and on its possible adverse events. To fill the knowledge gap on these issues, we conducted a survey among ever-smokers attending smoking cessation services (SCS) in Italy. Methods: In 2016–2018, we enrolled 395 ever-smokers aged ⩾18 years who were current or former electronic cigarette users in 12 SCS from northern, central, and southern Italy. Results: In all, 12.4% of ever smokers were regular, 9.4% occasional, and 78.2% past users of electronic cigarettes. Of all users, 93.8% consumed electronic cigarettes with nicotine, 95.9% used refillable devices, and 76.6% purchased electronic cigarette devices or liquids in vape shops. The mean duration of use was 3.7 months and the mean number of puffs per day was 86. Among users, 71.5% used electronic cigarettes in at least 1 smoke-free indoor environment, 53.7% in workplaces, 49.5% in restaurants and bars, 33.5% in train/metro stations or airports, and 18.4% in public transports. The use of electronic cigarettes in smoke-free environments significantly decreased with age and increased with duration of use and nicotine dependence. In our sample, 47.1% reported at least 1 adverse event attributable to electronic cigarette use: 19.5% dry cough, 12.0% dry mouth, 7.6% throat or mouth irritation, and 6.8% sore throat. Conclusion: In Italy, most conventional cigarette smokers use electronic cigarettes where smoking conventional cigarettes is prohibited. About half of users reported 1 or more symptoms attributable to electronic cigarettes, despite the relatively short duration of use.


2017 ◽  
Vol 11 ◽  
pp. 117822181773373 ◽  
Author(s):  
Deric R Kenne ◽  
Rebecca L Fischbein ◽  
Andy SL Tan ◽  
Mark Banks

Introduction: Electronic cigarettes (e-cigarettes) have grown in popularity, especially among youth and young adults. Although e-cigarettes were originally intended to vaporize a liquid mixture containing nicotine, there appears to be an increasing trend in other substance use in e-cigarettes (OSUE). Materials and methods: Cross-sectional data from 1542 undergraduate college student e-cigarette users from a large Midwestern university were collected via online survey to assess prevalence of e-cigarette use, reasons for use, perceived harm, and prevalence and predictors of OSUE. Results: Nearly 7% (6.94%) reported using an e-cigarette to vaporize and inhale a substance other than nicotine. Current tobacco cigarette smokers were significantly more likely to report OSUE (51.0%) as compared with never (33.7%) and former (15.4%) smokers. Among respondents reporting OSUE, the primary reason for e-cigarette use was “safer than cigarettes” (21.7%), followed by “experimentation” (18.9%) and “friends use” (17.0%). Most (77.9%) reported using cannabis or some derivative of cannabis in an e-cigarette. Binomial logistic regression found that women were less likely to report OSUE by a factor of 0.60, former tobacco cigarette smokers as compared with never smokers were more likely to report OSUE by a factor of 1.87, and e-cigarette users who reported using e-cigarettes for “cool or trendy” reasons were more likely to report OSUE by a factor of 2.89. Discussion: Little is known regarding the health effects of cannabis and cannabis derivatives delivered through e-cigarettes. Concern may also be warranted regarding the potential dangers of this young population using substances more dangerous than cannabis in e-cigarettes. Knowledge is limited regarding the public health impact of vaping cannabis or other illicit substances among college student populations. This study stresses the need for continued research regarding the vaping of cannabis and other illicit substances among college students.


Author(s):  
Jackie Sham ◽  
BCIT School of Health Sciences, Environmental Health ◽  
Vanessa Karakilic ◽  
Kevin Soulsbury ◽  
Fred Shaw

  Background and Purpose: Electronic cigarettes are gaining vast popularity because the perceived impression about electronic cigarettes is they are a safer alternative to conventional smoking (Belluz, 2015). As a result, more teenagers are switching to electronic cigarettes either as a smoking cessation tool, or for recreational use. However, it is supported by the evidence review that there is nicotine mislabeling between what the manufacturer has labeled and the actual nicotine content in the liquids (Goniewicz et al., 2012). This is a critical health concern for teenagers and recreational users because they are exposed to nicotine, which is a neurotoxin that creates the addiction for smoking. As a result, over a period of time, recreational electronic cigarette users have a higher chance of switching to conventional smoking (Bach, 2015). Hence, the purpose of this research is to determine whether nicotine can be found in nicotine free electronic cigarette liquids Methods: The nicotine content in the electronic cigarette liquids will be determined using Gas Chromatography - Mass Spectrometry. Inferential statistics such as a one tailed t-test will be done using Microsoft Excel and SAS to see if nicotine can be detected in nicotine-free electronic cigarette liquids and if there is a statistically significant difference. Results: The two p-values from the parametric test were 0.2811 and 0.2953. The p-value to reject the null hypothesis was set at 0.05. Because the p-values from the inferential statistics were greater than 0.05, the null hypothesis was not rejected and the actual nicotine content is equal to what the manufacturer had labeled as nicotine free. Discussion: Although the inferential statistics indicated that there was no statistical significance in nicotine concentration, two out of the ten nicotine free electronic cigarette liquids measured nicotine levels above 0 ppm. Conclusion: There was not a significant difference in nicotine concentration found in the electronic cigarette liquids and the actual nicotine concentration is equal to the labeled concentration. However, because the sample size of only ten is too small, there is a potential for type 2 error. Also, the samples came from only two manufacturers. Therefore, the results from this research are not representative for all the electronic cigarette liquids. More research should be conducted to provide scientific evidence to stop recreational electronic cigarette users from the exposure of electronic cigarettes as these could act as a stepping-stone towards smoking conventional cigarettes. Teenagers who start smoking at an early age will be more  


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