Cigarette Smoking Abstinence Among Pregnant Individuals Using E-Cigarettes or Nicotine Replacement Therapy.

Importance: Smoking cigarettes during pregnancy can impair maternal and child health, and pregnant individuals have increasingly used electronic cigarettes (e-cigarettes) for various reasons, including quitting smoking. Objective: To assess smoking abstinence rates among pregnant individuals who used e-cigarettes compared with those who used nicotine replacement therapy (NRT). Design, Setting, and Participants: This cohort study is a secondary data analysis of phase 8 of the US Pregnancy Risk Assessment Monitoring System, conducted between 2016 and 2020. Eligible participants included pregnant individuals who smoked combustible cigarettes within the 3 months before pregnancy and either used e-cigarettes or NRT during pregnancy. Data analysis was conducted from March 2022 to April 2023. Exposures: Combustible cigarette use within 3 months before pregnancy and use of either e-cigarettes or NRT during pregnancy. Main Outcomes and Measures: The primary outcome was the individual's self-reported smoking abstinence status during the last 3 months of pregnancy. Weighted percentages were reported and weighted multivariable logistic regression models were used to examine the association of e-cigarette use vs NRT with smoking abstinence. A propensity score was used to control for confounding by sociodemographics, pregnancy characteristics, prepregnancy smoking intensity, depression, behavioral support, and hookah use. Results: The cohort included 1329 pregnant individuals (759 ≥25 years [60.2%]; 766 non-Hispanic White individuals [79.8%]) of whom 781 had an education level of high school or lower (61.4%), and 952 had an annual household income of $48 000 or less (81.5%). Of the 1329 individuals, 890 (unweighted percentage, 67.0%) were existing e-cigarette users, 67 (unweighted percentage, 5.0%) were new e-cigarette users, and 372 (unweighted percentage, 28.0%) were NRT users. Compared with individuals who used NRT during pregnancy, individuals who used e-cigarettes had a higher rate of smoking abstinence in late pregnancy (456 individuals [50.8%] vs 67 individuals [19.4%]; propensity score adjusted odds ratio [OR], 2.47; 95% CI, 1.17-5.20; P = .02). In the secondary analysis stratified by the timing of e-cigarette use initiation, existing users of e-cigarettes who initiated before pregnancy had a higher smoking abstinence rate than NRT users (446 users [53.1%] vs 67 users [19.4%]; adjusted OR, 2.61; 95% CI, 1.23-5.51; P = .01). However, new e-cigarette users who initiated use during pregnancy had a similar smoking abstinence rate in late pregnancy when compared with NRT users (10 users [20.6%] vs 67 users [19.4%]; adjusted OR, 1.13; 95% CI, 0.22-5.87; P = .88). Conclusions and Relevance: These findings suggest that individuals who used e-cigarettes during pregnancy had a higher smoking abstinence rate in late pregnancy than individuals who used NRT, especially for those who initiated e-cigarette use before pregnancy, indicating that replacement of cigarettes with e-cigarettes during pregnancy may be a viable strategy for harm reduction.

Incidence of opioid misuse by cigarette smoking status in the United States.

BACKGROUND: The combination of opioid misuse and cigarette smoking contributes to increased morbidity and mortality compared to each substance use alone. We estimated the incidence of opioid misuse for persons who currently or formerly smoked versus never smoked. METHODS: Data came from the 2015-2020 National Surveys on Drug Use and Health cross-sectional surveys of US civilians aged 12+ (n = 315,661). Weighted opioid misuse incidence and average time between cigarette use initiation and opioid misuse initiation were calculated annually by smoking status. Logistic regression models tested time trends in incidence by smoking status. RESULTS: Overall, 0.75% of persons initiated opioid misuse per year; opioid misuse incidence was 1.35% for those who currently smoked cigarettes, 0.54% for those who formerly smoked, and 0.67% for those who never smoked. For persons who currently smoked and misused opioids (1.50%), 95.08% smoked prior to opioid use. The average time between smoking followed by opioid misuse was 12.93 years and for opioid misuse followed by smoking was 4.36 years. Persons who currently smoked were more likely to initiate opioid misuse than those who had never smoked (AOR = 1.81, 95% CI: 1.60, 2.06). There was a decrease in the opioid misuse incidence over time (AOR = 0.90; 95% CI: 0.85, 0.92), which did not differ by smoking status. CONCLUSIONS: Persons who currently smoked cigarettes, relative to those who never smoked, were more likely to initiate opioid misuse. As most individuals smoked before opioid misuse, it may be useful for primary prevention efforts to decrease opioid misuse initiation by focusing on smoking status.

Behavioral and Cognitive Performance Following Exposure to Second-Hand Smoke (SHS) from Tobacco Products Associated with Oxidative-Stress-Induced DNA Damage and Repair and Disruption of the Gut Microbiome.

Exposure to second-hand Smoke (SHS) remains prevalent. The underlying mechanisms of how SHS affects the brain require elucidation. We tested the hypothesis that SHS inhalation drives changes in the gut microbiome, impacting behavioral and cognitive performance as well as neuropathology in two-month-old wild-type (WT) mice and mice expressing wild-type human tau, a genetic model pertinent to Alzheimer's disease mice, following chronic SHS exposure (10 months to ~30 mg/m3). SHS exposure impacted the composition of the gut microbiome as well as the biodiversity and evenness of the gut microbiome in a sex-dependent fashion. This variation in the composition and biodiversity of the gut microbiome is also associated with several measures of cognitive performance. These results support the hypothesis that the gut microbiome contributes to the effect of SHS exposure on cognition. The percentage of 8-OHdG-labeled cells in the CA1 region of the hippocampus was also associated with performance in the novel object recognition test, consistent with urine and serum levels of 8-OHdG serving as a biomarker of cognitive performance in humans. We also assessed the effects of SHS on the percentage of p21-labeled cells, an early cellular marker of senescence that is upregulated in bronchial cells after exposure to cigarette smoke. Nuclear staining of p21-labeled cells was more prominent in larger cells of the prefrontal cortex and CA1 hippocampal neurons of SHS-exposed mice than in sham-exposed mice, and there was a significantly greater percentage of labelled cells in the prefrontal cortex and CA1 region of the hippocampus of SHS than air-exposed mice, suggesting that exposure to SHS may result in accelerated brain aging through oxidative-stress-induced injury.

The association between e-cigarette use or dual use of e-cigarette and combustible cigarette and prediabetes, diabetes, or insulin resistance: Findings from the National Health and Nutrition Examination Survey (NHANES).

BACKGROUND: Studies have established associations between combustible cigarette use and diabetes. However, there is limited evidence on the association between e-cigarette use or dual use of e-cigarettes and combustible cigarettes and diabetes. METHOD: With cross-sectional data of 5101 U.S. adults from the National Health and Nutrition Examination Survey, this study examined how e-cigarette use or dual use was related to diabetes, prediabetes, or insulin resistance. The presence of diabetes or prediabetes was determined by fasting glucose level, hemoglobin A1C (HbA1c), or the use of prescribed medications. Insulin resistance was assessed by the homeostatic model (HOMA-IR). The independent association between e-cigarette use or dual use and outcomes was examined using weighted multivariable logistic regression models controlling for potential confounders. RESULTS: Of all participants, 6.3% were current e-cigarette users and 17.1% were former e-cigarette users. In the fully adjusted model, e-cigarette use was not associated with prediabetes or diabetes (P>0.05). However, former e-cigarette users were 22% (95% CI: 1.00, 1.84) more likely to report higher HOMA-IR (Q3 vs Q1) than never e-cigarette users. Among ever combustible cigarette users, current e-cigarette users and former e-cigarette users were 63% (95% CI: 1.00, 2.91) and 64% (95% CI: 1.04, 2.59) more likely to report higher HOMA-IR than never e-cigarette users, respectively. There was no significant association between dual use and diabetes, prediabetes, or insulin resistance (P>0.05). CONCLUSIONS: E-cigarette use may be associated with insulin resistance. Our findings may inform future tobacco control policies and longitudinal studies assessing insulin resistance associated with e-cigarette use.

Scanned information exposure and support for tobacco regulations among US youth and young adult tobacco product users and non-users.

The influences of information exposure on youth and young adults' (YYA) support for smoking/vaping regulations have been understudied. This study examines (i) the relationships between routine exposure to (i.e. scanning) anti-smoking/pro-vaping information and YYA support for anti-smoking/vaping regulations and (ii) whether these relationships differ across YYA users and non-users of tobacco products. We analyzed the data from a nationally representative two-wave rolling cross-sectional survey of YYA in the United States, collected from 2014 to 2017 (baseline n = 10 642; follow-up n = 4001). Less than 5% of the participants ever scanned pro-smoking and anti-vaping information. Scanning anti-smoking information had significant positive relationships with support for all anti-smoking policies cross-sectionally, and this pattern was longitudinally significant in two anti-smoking policy contexts. Scanning pro-vaping information had significant negative associations with support for anti-vaping policies cross-sectionally, but not longitudinally. The lagged positive relationships between scanning anti-smoking information and support for anti-smoking regulations were stronger among YYA smokers than among YYA non-smokers, whereas evidence from adult data suggested the opposite pattern. The findings suggest that scanning information can affect YYA support for tobacco regulations. Future efforts are required to investigate mechanisms underlying the influences of scanned information on YYA support for tobacco regulations.

The impact of electronic and conventional cigarettes on periodontal health-a systematic review and meta-analysis.

OBJECTIVES: This systematic review and meta-analysis examined the effects of electronic cigarettes on periodontal health compared to conventional cigarette smoke and a non-smoking population. MATERIALS AND METHODS: MEDLINE, Embase, Web of Science, CENTRAL, and ClinicalTrials.gov were screened for literature. Eligibility criteria included clinical studies published between 2006 and 2022 that compare e-cigarettes and conventional cigarettes on periodontal health (bleeding on probing (BoP), plaque index (PI), probing depth (PD), attachment loss (AL), marginal bone loss (MBL), tooth loss, molecular inflammation markers, salivary flow rate). Meta-regression analysis was used to examine the influence of moderator variables. RESULTS: Sixteen studies were found to be eligible for qualitative synthesis. Individual analyses showed that cigarette smokers had significantly higher PI, PD, AL, and MBL and increased concentrations of proinflammatory mediators than e-cigarette users and non-smokers. Meta-analysis revealed a 0.33-fold lower chance for BoP in e-cigarette users compared to smokers (p = 0.03), whereby meta-regression failed to detect any effects regarding the age of users and frequency of smoking. A 0.01-fold decreased chance for positive BoP in e-cigarette users compared with non-smokers was seen (p < 0.01). CONCLUSIONS: The current findings suggest that that e-cigarette use might be considered a healthier alternative to cigarette smoking concerning periodontal health. Even so, harmful effects of electronic nicotine delivery system (ENDS) usage on periodontal health were seen as well. However, a definitive decision on this research question remains elusive due to the absence of randomized controlled trials. CLINICAL RELEVANCE: Electronic cigarettes, marketed as a safer alternative to traditional cigarettes, are becoming increasingly popular. Evidence on the use of electronic cigarettes as a cessation aid and its beneficial impact compared to cigarette smoke remains inconclusive, so the analysis conducted in this review addresses a recent question of high clinical relevance.

Socioeconomic differences in tobacco outlet presence, density, and proximity in four cities in the Netherlands.

BACKGROUND: Previous studies found that tobacco outlets were unevenly distributed by area socioeconomic status (SES). However, evidence from continental Europe is limited. This study aims to assess differences in tobacco outlet presence, density and proximity by area SES in the Netherlands. METHODS: All tobacco outlets in four Dutch cities (Amsterdam, and medium-sized cities Eindhoven, Haarlem, and Zwolle) were mapped between September 2019 and June 2020. We estimated associations between average property value of neighbourhoods (as an indicator of SES, grouped into quintiles) and (1) tobacco outlet presence in the neighbourhood (yes/no), (2) density (per km2), and (3) proximity to the closest outlet (in meters), using logistic and linear regression models. RESULTS: 46% of neighbourhoods contained at least one tobacco outlet. Tobacco outlets were mostly situated in city centres, but the distribution of tobacco outlets varied per city due to differences in urban structures and functions. In the medium-sized cities, each quintile higher neighbourhood-SES was associated with lower tobacco outlet presence (OR:0.71, 95%CI:0.59;0.85), lower density (B:-1.20 outlets/km2, 95%CI:-2.20;-0.20) and less proximity (B:40.2 m, 95%CI 36.58;43.83). Associations were the other way around for Amsterdam (OR:1.22, 95%CI:1.05;1.40, B:3.50, 95%CI:0.81;6.20, and B:-18.45, 95%CI:-20.41;-16.49, respectively). Results were similar for most types of tobacco outlets. CONCLUSION: In medium-sized cities in the Netherlands, tobacco outlets were more often located in low-SES neighbourhoods than high-SES. Amsterdam presented a reverse pattern, possibly due to its unique urban structure. We discuss how licensing might contribute to reducing tobacco outlets in low-SES neighbourhoods.

Longitudinal analysis of cigar use patterns among US youth and adults, 2013-2019.

BACKGROUND: Cigars are available in a range of pack quantities, which contrasts regulations requiring cigarettes to be sold in packs of 20 or greater. Smaller packages may be associated with increases in initiation while larger packs may lead consumers to smoke more. The purpose of this study was to inform pack quantity regulations by examining whether usual cigar pack quantity purchased was associated with use, initiation, and discontinuation among youth and adults for four cigar types: premium cigars, large cigars, cigarillos, and filtered cigars. METHODS: We analyzed waves 1-5 (2013-2019) of the adult and waves 2-5 (2014-2019) of the youth Population Assessment of Tobacco and Health (PATH) Study. Samples included those responding to the item on pack quantity and providing data at all waves (adults: premium cigars [N = 536], large cigars [N = 1,272], cigarillos [N = 3,504], filtered cigars [N = 1,281]; youth: premium cigars [N = 55], large cigars [N = 217], cigarillos [N = 1514], filtered cigars [N = 266]). Generalized estimating equation models examined the population-averaged effects of pack quantity on cigar use, initiation, and discontinuation. RESULTS: Adult pack quantity was positively associated with the days used per month for premium cigars (b: 0.23, 95% CI: 0.11, 0.34), large cigars (b: 0.17, 95% CI: 0.08, 0.25), cigarillos (b: 0.12, 95% CI: 0.003, 0.24), and filtered cigars (b: 0.07, 95% CI: 0.04, 0.10), and positively associated with amount smoked per day for all cigar types. Youth pack quantity was positively associated with days used per month for premium cigars (b: 0.88, 95% CI: 0.33, 1.43), large cigars (b: 0.79, 95% CI: 0.43, 1.15), and cigarillos (b: 0.17, 95% CI: 0.01, 0.34). Adult initiation was associated with pack quantity for filtered cigars (b: -2.22, 95% CI: -4.29, -0.13), as those who initiated purchased smaller pack quantities compared to those who did not initiate that wave. Pack quantity was not associated with discontinuation for adults or youth. CONCLUSIONS: Cigar use increased as usual pack quantity purchased increased across cigar types for youth and adults. Small increases in pack quantity (e.g., one additional cigar) are likely to result in consuming less than one additional day per month, though larger increases (e.g., 10 additional cigars per pack) may result in greater use.

Gender differences in cigarette smoking cessation attempts among adults who smoke and drink alcohol at high levels: Findings from the 2018-2020 International Tobacco Control Four Country Smoking and Vaping Surveys.

BACKGROUND: This study examined the association between alcohol consumption and smoking cessation behaviour of adults who smoke in four countries. METHODS: Data came from 4275 adults (≥18 years) who smoked tobacco ≥ monthly and participated in the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping Surveys (Australia: n = 720; Canada: n = 1250; US: n = 1011; England: n = 1294). The 2018 Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) survey data coded into three levels ('never/low', 'moderate' or 'heavy' consumption) were analysed using multivariable logistic regression models to predict any smoking cessation attempts and successful cessation by 2020 survey, and whether this differed by gender and country. RESULTS: Compared to never/low alcohol consumers, only those who drink heavily were less likely to have made a quit smoking attempt (40.4 % vs. 43.8 %; AOR = 0.69, 95 % CI = 0.57-0.83, p < .001). The association differed by gender and country (3-way interaction, p < .001), with females who drink heavily being less likely to attempt to quit smoking in England (AOR = 0.27, 95 % CI = 0.15-0.49, p < .001) and Australia (AOR = 0.38, 95 % CI = 0.19-0.77, p = .008), but for males, those who drink moderately (AOR = 2.18, 95 % CI = 1.17-4.06, p = .014) or heavily (AOR = 2.61, 95 % CI = 1.45-4.68, p = .001) were more likely to make a quit attempt in England only. Alcohol consumption did not predict quit success. CONCLUSION: Heavy alcohol use among adults who smoke appears to only undermine the likelihood of trying to quit smoking with some variation by gender and country of residence, but not their chances of succeeding if they tried.

Using varenicline in combination with electronic nicotine delivery systems (ENDS).

BACKGROUND: Varenicline is efficacious for smoking cessation, but a return to smokingusually occurs after treatment ends. Electronic nicotine delivery systems (ENDS) may enhance smoking reduction and cessation by providing a behavioral substitute for smoking and may deter smoking in the long term if an individual's nicotine dependence can be transferred to ENDS. The goal of this study was to evaluate varenicline in conjunction with ENDS to promote switching to ENDS. METHODS: Twenty-five individuals who smoked cigarettes, interested in switching but not seeking cessation treatment, received ENDS for 13 weeks; during weeks 2-13 they received varenicline. Assessments included self-reported cigarette and ENDS use, expired air carbon monoxide (CO), reward ratings, tolerability/side effects, and dependence measures. RESULTS: Cigarette smoking decreased from 15.6 cigarettes/day (SD=5.6) at baseline to 2.8 cigarettes/day (SD=5.1) at week 13 (paired t(22)=10.24, p<0.0001). 28% of participants were confirmed to be abstinent in the last 4 weeks of treatment. ENDS use remained relatively constant, averaging 11.8 occasions per day (SD=10.6). Cigarette dependence (assessed by time to first use of the day) decreased after introduction of ENDS (paired t(23) = -3.27, p=0.003), and again after the first week of full-dose varenicline (paired t(23) = -4.27, p=0.0003). Dependence on ENDS did not change, starting out lower than cigarettes (paired t(21) = 5.52, p<0.0001), but ending higher (paired t(22) = 2.94, p=0.008). Smoking satisfaction declined markedly, while satisfaction for ENDS remained relatively constant. Treatment tolerability and adherence were high. CONCLUSIONS: ENDS in combination with varenicline shows promise as a means to reduce dependence on cigarettes and facilitate switching from cigarettes to ENDS.

Associations of daily alcohol, cannabis, combustible tobacco, and e-cigarette use with same-day co-use and poly-use of the other substances.

BACKGROUND: Young adults frequently use alcohol, cannabis, and tobacco together. Given the increased prevalence of e-cigarette use and recreational cannabis use, we investigated daily patterns of alcohol, cannabis, and tobacco use and distinguished combustible tobacco from e-cigarettes. METHODS: Young adult college students (N=341) reporting past-month alcohol and cannabis use "at the same time so that their effects overlapped" completed two 28-day bursts of repeated daily surveys. Exposures were day- and person-level use of each substance. Outcomes were (1) same-day co-use of each remaining substance or (2) poly-use of the other substances. RESULTS: Daily use of alcohol, cannabis, combustible cigarettes, and e-cigarettes increased the odds of same-day co-use of the other substances (except combustible tobacco with e-cigarettes) and each poly-use outcome. The influence of person-level substance use on daily substance use was less consistent. Only e-cigarette use increased the odds of daily alcohol use. Use of either tobacco product but not alcohol increased the odds of daily cannabis use. Person-level alcohol and cannabis use increased the odds of daily use of either tobacco product but use of one tobacco product was not associated with daily use of the other product. CONCLUSIONS: These findings increase our understanding of emerging daily patterns of alcohol, cannabis, and tobacco co-use, and the impact of different tobacco products. Future work is needed to extend this research into non-college samples and people who use tobacco but do not use alcohol and cannabis simultaneously, and examine daily chronologies of multiple substances that could serve as dynamic markers of risk.

Cigarette and e-cigarette use trajectories and prospective prescription psychotherapeutic drug misuse among adolescents and young adults.

OBJECTIVE: This study aimed to determine the potential longitudinal impact of different cigarette and e-cigarette use trajectories among people aged 10-24 on prescription drug misuse of psychotherapeutic drugs. METHODS: Data came from waves 1-5 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2019; n = 14,454). Group-based trajectory modeling identified groups of adolescents and young adults based on cigarette and e-cigarette use across the five waves. Weighted logistic regression models were fit to examine the association of group membership with two outcomes at all waves: 1) misuse of opioids, sedatives, and/or tranquilizers, and 2) misuse of Ritalin and/or Adderall, adjusting for background characteristics. RESULTS: Five trajectory groups emerged: (1) non-use (77.7 %); (2) early-onset cigarette use with reducing use (4.6 %); (3) ever-increasing e-cigarette use (6.1 %); (4) stable dual use of cigarettes and e-cigarettes (3.2 %); and (5) accelerating dual use of cigarettes and e-cigarettes (8.4 %). In comparison to the non-use group, all other groups had significantly higher odds of misuse of opioids, tranquilizers, and/or sedatives and all but the early-onset cigarette use with reducing use group had significantly higher odds of misuse of Ritalin and/or Adderall by the end of wave 5. DISCUSSION: Patterns of cigarette and e-cigarette use in adolescent and young adult populations may serve as important indicators for concurrent and prospective prescription psychotherapeutic drug misuse. Findings highlight the need for cigarette and e-cigarette use prevention, harm reduction, and/or cessation efforts among adolescents and young adults.

Factors associated with intention to smoke cigarettes among never smoker school going adolescents in Zambia.

Background: Cigarette smoking intention is a strong predictor of cigarette smoking initiation. There is limited data on predictors of cigarette smoking intentions among adolescents in developing countries. Objective: To determine factors associated with cigarettes smoking intentions among never-smoked adolescents. Methods: The study utilized the Zambia 2011 Global Youth Tobacco Survey dataset on adolescents. Results: Being in grade nine compared to grade seven (AOR 0.43, 95%CI 0.23-0.82). Having a smoking father (AOR 2.38, 95%CI 1.25-453) mother (AOR 11.77, 95%CI 4.16-33.33), or both parents (AOR 7.05, 95%CI 2.91-17.10) showed significantly higher chance of having smoking intentions than having non-smoker parents. Also, having some (AOR 1.97, 95%CI 1.12-3.47), most (AOR 5.37, 95%CI 2.82-10.25), or all (AOR 3.75, 95%CI 1.64-8.56) smoker close friend was significantly associated with smoking intention compared to having none-smoker friends. Being around others who smoked in out-door places 1-2 days (AOR 2.16, 95%CI 1.19-3.93), 5-6 days (AOR 3.21, 95%CI 1.51-6.83) and 7 days/week (AOR 2.73, 95%CI 1.41-5.30) were also associated with one's intention to smoke cigarettes compared to not being around smokers in outdoor public places 7 days/week. Conclusion: Having smoking parents, smoking friends or around people who smoke in public places were associated with cigarette smoking intentions among adolescents.

Illicit purchasing and use of flavour accessories after the European Union menthol cigarette ban: findings from the 2020-21 ITC Netherlands Surveys.

BACKGROUND: The 2020 European Union (EU) menthol cigarette ban increased quitting among pre-ban menthol smokers in the Netherlands, but some reported continuing to smoke menthol cigarettes. This study examined three possible explanations for post-ban menthol use-(i) illicit purchasing, (ii) use of flavour accessories and (iii) use of non-menthol replacement brands marketed for menthol smokers. METHODS: Data were from the ITC Netherlands Cohort Surveys among adult smokers before the menthol ban (Wave 1: February-March 2020, N = 2067) and after the ban (Wave 2: September-November 2020, N = 1752; Wave 3: June-July 2021, N = 1721). Bivariate, logistic regression and generalized estimating equation model analyses were conducted on weighted data. RESULTS: Illicit purchasing remained low from pre-ban (2.4%, 95% CI: 1.8-3.2, Wave 1) to post-ban (1.7%, 1.2-2.5%, Wave 3), with no difference between menthol and non-menthol smokers from Wave 1 to Wave 3. About 4.4% of post-ban menthol smokers last purchased their usual brand outside of the EU and 3.6% from the internet; 42.5% of post-ban menthol smokers and 4.4% of smokers overall reported using flavour accessories, with greater odds among those aged 25-39 years vs. 55+ (aOR = 3.16, P = 0.002). Approximately 70% of post-ban smokers who reported using a menthol brand were actually using a non-menthol replacement brand. CONCLUSIONS: There was no increase in illicit purchasing or of smuggling outside the EU among menthol and non-menthol smokers in the Netherlands 1 year after the EU menthol cigarette ban. Use of flavour accessories and non-menthol replacement brands best explain post-ban menthol use, suggesting the need to ban accessories and ensure industry compliance.

Oral and Systemic Health Implications of Electronic Cigarette Usage as Compared to Conventional Tobacco Cigarettes: A review of the literature.

Purpose The health implications related to electronic cigarettes are not fully understood and has created a public health concern. The purpose of this narrative review was to highlight the oral and systemic health concerns associated with electronic cigarettes and compare these concerns to those associated with conventional tobacco cigarettes.Methods The literature was obtained from PubMed, Ovid Medline, CINAHL, and Scopus databases in June 2021 and updated in February 2023. Sources were chosen based on the following inclusion criteria: date of publication between 2011 and 2023 and written in English. Articles were excluded based on irrelevance to the topic, weak study designs, lack of outcome data, low quality randomized control trials, unavailability of the full text article, and non-empirical research designs. The Cochrane tool, ROBINS-I, was used to assess the risk of bias.Results A total of 78 studies were included in the review. E-cigarette use was associated with significant adverse effects for cardiovascular, respiratory, immunological, and periodontal health as compared to nonusers; however, impacts were worse with conventional smoked cigarettes. Long term health effects remain unknown with e-cigarettes, but associations have been identified with periodontal and peri-implant disease, oral cancer, and mental health disorders. The heterogeneity of e-cigarette use related to vaping behavior, devices, and liquids limits the ability to generalize results. There is a need for the development of a research standard for exposure methods to establish a consensus with e-cigarette use and support the validity of results among researchers.Conclusion According to current research, e-cigarettes may induce less harm than traditional tobacco products, but e-cigarettes do not remove the carcinogenic and toxic risk that has been associated with conventional cigarettes. Further research is needed to make broad conclusions on the safety of e-cigarettes compared to conventional cigarettes and to nonusers.

Potential Harm of IQOS Smoke to Rat Liver.

The Food and Drug Administration has recently classified the IQOS electronic cigarette as a modified-risk tobacco product. However, IQOS cigarettes still release various harmful constituents typical of conventional cigarettes (CCs), although the concentrations are markedly lower. Here, we investigated the damaging effects of IQOS smoking on the liver. Male Sprague Dawley rats were exposed, whole body, 5 days/week for 4 weeks to IQOS smoke (4 sticks/day), and hepatic xenobiotic metabolism, redox homeostasis and lipidomic profile were investigated. IQOS boosted reactive radicals and generated oxidative stress. Exposure decreased cellular reserves of total glutathione (GSH) but not GSH-dependent antioxidant enzymes. Catalase and xanthine oxidase were greater in the exposed group, as were various hepatic CYP-dependent monooxygenases (CYP2B1/2, CYP1A1, CYP2A1, CYP2E1-linked). Respiratory chain activity was unaltered, while the number of liver mitochondria was increased. IQOS exposure had an impact on the hepatic lipid profile. With regard to the expression of some MAP kinases commonly activated by CC smoking, IQOS increased the p-p38/p38 ratio, while erythroid nuclear transcription factor 2 (Nrf2) was negatively affected. Our data suggest that IQOS significantly impairs liver function, supporting the precautionary stance taken by the WHO toward the use of these devices, especially by young people and pregnant women.