Longitudinal Electronic Cigarette Use Among Patients Recently Diagnosed With Cancer Enrolled in a Smoking Cessation Trial.

INTRODUCTION: Many cancer patients who smoke report concurrent e-cigarette use. Using a mixed-methods approach, we aimed to (1) describe longitudinal e-cigarette use over 6 months after a cancer diagnosis and (2) assess the association between e-cigarette use and smoking cessation, among cancer patients in a smoking cessation trial. AIMS AND METHODS: Data were from a 2-site randomized controlled trial of Standard (brief counseling) versus Intensive treatment (sustained counseling plus smoking cessation medication) in individuals who smoke recently diagnosed with cancer. Participants (n = 303) reported e-cigarette use at baseline, 3 months, and 6 months. Biochemically-verified past 7-day cigarette abstinence was collected at 6 months. Qualitative interviews at 6 months explored factors related to e-cigarette use. RESULTS: E-cigarette use prevalence was highest between baseline and 3 months (16%) and declined over time. Participants using e-cigarettes at follow-up had higher baseline cigarette dependence and smoked more heavily. Multivariable analyses found no significant association between follow-up e-cigarette use and 6-month cigarette abstinence. E-cigarette use at follow-up was higher in the Standard versus Intensive treatment group (p = .003 and .001 at 3 and 6 mo, respectively). Smoking cessation and health concerns were primary reasons for using e-cigarettes. CONCLUSIONS: Among individuals who smoke recently diagnosed with cancer and enrolled in a smoking cessation intervention trial, e-cigarette use during trial participation was not associated with smoking abstinence. Individuals who chose to use e-cigarettes were less likely to be receiving intensive cessation support as part of the trial. Further studies are needed to evaluate the association between e-cigarette use and smoking cessation in cancer patients. IMPLICATIONS: E-cigarette use was not associated with cigarette abstinence at 6 months among adults who smoke recently diagnosed with cancer enrolled in a smoking cessation trial. Individuals with easier access to evidence-based smoking cessation treatment may be less likely to use e-cigarettes.

Interest in Electronic Cigarettes for Smoking Cessation Among Adults With Opioid Use Disorder in Buprenorphine Treatment: A Mixed-Methods Investigation.

INTRODUCTION: Individuals in treatment for opioid use disorder (OUD) have high smoking rates and limited success with Food and Drug Administration (FDA)-approved cessation aids, suggesting need for novel approaches. Electronic cigarettes (e-cigarettes) might benefit this population, but e-cigarettes' acceptability for tobacco reduction or cessation among smokers in OUD treatment is not known. METHODS: A cross-sectional mixed-methods study of 222 adults in OUD treatment with buprenorphine in the Boston, Massachusetts metropolitan area was conducted in 2020. We used quantitative and qualitative data to investigate individuals' experience with and interest in e-cigarettes and other methods for smoking cessation and assessed factors associated with interest in e-cigarette use. RESULTS: One hundred sixty (72%) of the 222 participants were past 30-day cigarette smokers. They most frequently reported having ever used nicotine replacement therapy (NRT; 83%) and e-cigarettes (71%) for smoking cessation and most often indicated interest in using NRT (71%) and e-cigarettes (44%) for future smoking cessation. In multiple logistic regression analysis, interest in using e-cigarettes for future smoking cessation was independently associated with having ever used e-cigarettes for smoking cessation, current e-cigarette use, and perceiving e-cigarettes to be less harmful than cigarettes (ps < .05). In qualitative data, many current vapers/former smokers reported that e-cigarettes had been helpful for quitting cigarettes. For current smokers who currently or formerly vaped, frequently reported challenges in switching to e-cigarettes were concerns about replacing one addiction with another and e-cigarettes not adequately substituting for cigarettes. CONCLUSIONS: E-cigarettes had a moderate level of acceptability for smoking cessation among cigarette smokers in OUD treatment. More research is warranted to test the efficacy of this approach. IMPLICATIONS: Individuals in treatment for opioid use disorder (OUD) have high smoking rates and limited success with existing smoking cessation tools, suggesting a need for novel cessation treatment approaches. In this mixed-methods study of individuals receiving medication treatment for OUD with buprenorphine in Massachusetts in 2020, we found a moderate level of acceptability of e-cigarettes for smoking cessation.

Prevalence of Cannabis Use and Cannabis Route of Administration among Massachusetts Adults in Buprenorphine Treatment for Opioid Use Disorder.

BACKGROUND: Recent prevalence estimates of cannabis use among individuals receiving medication treatment for OUD (MOUD) are lacking, and no study has characterized cannabis route of administration (cROA) in this population. These knowledge gaps are relevant because cannabis' effects and health outcomes vary by cROA and the availability and perceptions of cROA (e.g., vaping devices) are changing. METHODS: The Vaping In Buprenorphine-treated patients Evaluation (VIBE) cross-sectional survey assessed the prevalence and correlates of cannabis use and cROA among adults receiving buprenorphine MOUD from 02/20 to 07/20 at five community health centers in Massachusetts, a state with legal recreational and medical cannabis use. RESULTS: Among the 92/222 (41%) respondents reporting past 30-day cannabis use, smoking was the most common cROA (75%), followed by vaping (38%), and eating (26%). Smoking was more often used as a single cROA vs. in combination others (p = 0.01), whereas vaping, eating, and dabbing were more often used in combination with another cROA (all p < 0.05). Of the 39% of participants reporting multiple cROA, smoking and vaping (61%), and smoking and eating (50%), were the most prevalent combinations. Nonwhite race (vs. white) and current cigarette smoking (vs. no nicotine use) were associated with past 30-day cannabis use in multiple logistic regression. CONCLUSIONS: Prevalence of past 30-day cannabis use among individuals receiving buprenorphine MOUD in Massachusetts in 2020 was nearly double the prevalence of cannabis use in Massachusetts' adult general population in 2019 (21%). Our data are consistent with state and national data showing smoking as the most common cROA.

Correction to: Online Searches for Quitting Vaping During the 2019 Outbreak of E-cigarette or Vaping Product Use-Associated Lung Injury.

This paper was originally published with an incorrect title.

Enhancing employer coverage of smoking cessation treatment: A randomized trial of the Partners in Helping You Quit (PiHQ) program.

The workplace is a key channel for delivering tobacco cessation treatment to a population. Employers can provide workplace-based programs and/or financial incentives such as health insurance benefits that cover the cost of treatment accessed outside the workplace. Little is known about the effect of combining these strategies. We tested the benefit of adding a workplace cessation program, Partners in Helping You Quit (PiHQ), to comprehensive health insurance coverage of smoking cessation medications by Partners HealthCare, a large Boston-based healthcare delivery system. PiHQ offers biweekly telephone-based behavioral support, additional automated calls, and medication care coordination for 3 months then monthly telephone monitoring for 9 months. In a pragmatic randomized trial, employees who smoked were informed about the insurance benefit, then randomly assigned (2:1) to PiHQ or to active referral to a free 3-month phone-based community program, Massachusetts Quitline (QL). Outcomes were assessed at 3, 6, and 12 months. During 2015-2018, 106 smokers (n = 73 PiHQ, n = 33 QL) enrolled (64% female; 75% white, 21% black; mean age 46 years, mean cigarettes/day = 13). More PiHQ than QL participants made a quit attempt by 3 months (82 vs. 61%, p < .02) and achieved the primary outcome, verified past 7-day cigarette abstinence at 6 months (31 vs. 12%, odds ratio 3.34, 95% CI, 1.05-10.60). Among participants using behavioral support, PiHQ participants completed more scheduled calls and rated counseling helpfulness higher than did QL participants. These results suggest that employers can enhance the impact of providing comprehensive health insurance coverage of smoking cessation medication by adding a phone-based worksite cessation program.

Electronic Cigarette Use and Cigarette Abstinence Over 2 Years Among U.S. Smokers in the Population Assessment of Tobacco and Health Study.

INTRODUCTION: Electronic cigarettes (e-cigarettes) could benefit public health if they help current smokers to stop smoking long term, but evidence that they do so is limited. We aimed to determine the association between e-cigarette use and subsequent smoking cessation in a nationally representative cohort of US smokers followed for 2 years. METHODS: We analyzed data from adult cigarette smokers in Waves 1 through 3 of the Population Assessment of Tobacco and Health study. The primary exposure was e-cigarette use at Wave 1. The primary outcome was prolonged cigarette abstinence, defined as past 30-day cigarette abstinence at Waves 2 and 3 (1- and 2-year follow-up). RESULTS: Among Wave 1 cigarette smokers, 3.6% were current daily e-cigarette users, 18% were current non-daily e-cigarette users, and 78% reported no current e-cigarette use. In multivariable-adjusted analyses, daily e-cigarette use at Wave 1 was associated with higher odds of prolonged cigarette smoking abstinence at Waves 2 and 3 compared to nonuse of e-cigarettes (11% vs. 6%, adjusted odds ratio [AOR] = 1.77, 95% confidence interval [CI] = 1.08 to 2.89). Non-daily e-cigarette use was not associated with prolonged cigarette smoking abstinence. Among Wave 1 daily e-cigarette users who were abstinent from cigarette smoking at Wave 3, 63% were using e-cigarettes at Wave 3. CONCLUSIONS: In this longitudinal cohort study of US adult cigarette smokers, daily but not non-daily e-cigarette use was associated with higher odds of prolonged cigarette smoking abstinence over 2 years, compared to no e-cigarette use. Daily use of e-cigarettes may help some smokers to stop smoking combustible cigarettes. IMPLICATIONS: In this nationally representative longitudinal cohort study of US adult cigarette smokers, daily e-cigarette use, compared to no e-cigarette use, was associated with a 77% increased odds of prolonged cigarette smoking abstinence over the subsequent 2 years. Regular use of e-cigarettes may help some smokers to stop smoking combustible cigarettes.

Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness.

INTRODUCTION: US adults with serious mental illness (SMI), compared to those without SMI, have a higher prevalence of smoking, which contributes to a shorter life expectancy. This study compared current smoking and quitting-related characteristics of low-income US adults with and without SMI who received healthcare at federally funded health centers. METHODS: Using cross-sectional data from adults ≥ 18 years old in the nationally representative 2014 Health Center Patient Survey (n = 5592), we compared the prevalence of ever and current smoking among adults with and without SMI and calculated quit ratios as the percentage of ever smokers who have quit smoking. We examined the association between SMI and receiving advice to quit, making quit attempts, and having plans to quit in the next 30 days using multivariable logistic regression. RESULTS: A total of 1376 (23%) of participants had SMI. Ever smoking prevalence was 68% in adults with SMI and 41% in adults without SMI, and current smoking prevalence was 48% and 22%, respectively. The quit ratio was 30% and 46% among participants with and without SMI, respectively. Compared to smokers without SMI, more smokers with SMI reported receiving advice to quit in the past 12 months (aOR 2.47, 95% CI 1.20-5.07). Smokers with and without SMI did not differ significantly in their odds of having made a past-12-month quit attempt or plans to quit. CONCLUSIONS: Smokers with SMI seen in federally funded health centers were just as likely to have made a quit attempt and to have plans to quit as smokers without SMI. Despite a higher likelihood of receiving clinician advice to quit, the lower quit ratio in this population suggests that advice alone is unlikely to be sufficient. These results underscore the need for augmented strategies to promote smoking cessation and reduce the excess burden of tobacco-related disease in patients with SMI.

Proactive Population Health Strategy to Offer Tobacco Dependence Treatment to Smokers in a Primary Care Practice Network.

BACKGROUND: Population-based strategies can expand the reach of tobacco cessation treatment beyond clinical encounters. OBJECTIVE: To determine the effect of two population-based tobacco cessation strategies, compared with usual care, on providing tobacco treatment outside of clinical encounters. DESIGN: 3-arm pragmatic randomized controlled trial. PARTICIPANTS: Current smokers ≥ 18 years old with a primary care provider at one of five community health centers in Massachusetts were identified via the electronic health record (n = 5225) and recruited using automated phone calls. INTERVENTIONS: One intervention group involved engagement with a health system-based tobacco coach (internal care coordination), and the other connected patients to a national quitline (external community referral). MEASUREMENTS: Proportion of smokers with documentation of any evidence-based cessation treatment in the 6 months after enrollment. KEY RESULTS: Of 639 individuals who responded to the proactive treatment offer, 233 consented and were randomized 1:1:1 to study arm. At 6-month follow-up, the pooled intervention group, compared with usual care, had higher documentation of any smoking cessation treatment (63% vs. 34%, p < 0.001), cessation medication prescription (52% vs. 30%, p = 0.002), and counseling (47% vs. 9%, p < 0.001). Internal care coordination was more effective than external community referral at connecting smokers to any cessation treatment (76% vs. 50%, p = 0.001) and at providing cessation medication (66% vs. 39%, p < 0.001), but comparable at linking smokers to cessation counseling resources. CONCLUSIONS: Smokers responding to a population-based, proactive outreach strategy had better provision of tobacco cessation treatment when referred to either a health system-based or community-based program compared with usual care. The health system-based strategy outperformed the quitline-based one in several measures. Future work should aim to improve population reach and test the effect on smoking cessation rates. TRIAL REGISTRATION: ClinicalTrials.gov NCT03612895.

Association of E-Cigarette Use With Smoking Cessation Among Smokers Who Plan to Quit After a Hospitalization: A Prospective Study.

Background: Many smokers report using e-cigarettes to help them quit smoking, but whether e-cigarettes aid cessation efforts is uncertain. Objective: To determine whether e-cigarette use after hospital discharge is associated with subsequent tobacco abstinence among smokers who plan to quit and are advised to use evidence-based treatment. Design: Secondary data analysis of a randomized controlled trial. (ClinicalTrials.gov: NCT01714323 [parent trial]). Setting: 3 hospitals. Participants: 1357 hospitalized adult cigarette smokers who planned to stop smoking, received tobacco cessation counseling in the hospital, and were randomly assigned at discharge to a tobacco treatment recommendation (control) or free tobacco treatment (intervention). Measurements: Self-reported e-cigarette use (exposure) was assessed 1 and 3 months after discharge; biochemically validated tobacco abstinence (outcome) was assessed 6 months after discharge. Results: Twenty-eight percent of participants used an e-cigarette within 3 months after discharge. In an analysis of 237 propensity score-matched pairs, e-cigarette users were less likely than nonusers to abstain from tobacco use at 6 months (10.1% vs. 26.6%; risk difference, -16.5% [95% CI, -23.3% to -9.6%]). The association between e-cigarette use and quitting varied between intervention patients, who were given easy access to conventional treatment (7.7% vs. 29.8%; risk difference, -22.1% [CI, -32.3% to -11.9%]), and control patients, who received only treatment recommendations (12.0% vs. 24.1%; risk difference, -12.0% [CI, -21.2% to 2.9%]) (P for interaction = 0.143). Limitations: Patients self-selected e-cigarette use. Unmeasured confounding is possible in an observational study. Conclusion: During 3 months after hospital discharge, more than a quarter of smokers attempting to quit used e-cigarettes, mostly to aid cessation, but few used them regularly. This pattern of use was associated with less tobacco abstinence at 6 months than among smokers who did not use e-cigarettes. Additional study is needed to determine whether regular use of e-cigarettes aids or hinders smoking cessation. Primary Funding Source: National Heart, Lung, and Blood Institute.

Subsistence difficulties are associated with more barriers to quitting and worse abstinence outcomes among homeless smokers: evidence from two studies in Boston, Massachusetts.

BACKGROUND: Three-quarters of homeless people smoke cigarettes. Competing priorities for shelter, food, and other subsistence needs may be one explanation for low smoking cessation rates in this population. We analyzed data from two samples of homeless smokers to examine the associations between subsistence difficulties and 1) smoking cessation readiness, confidence, and barriers in a cross-sectional study, and 2) smoking abstinence during follow-up in a longitudinal study. METHODS: We conducted a survey of homeless smokers (N = 306) in 4/2014-7/2014 and a pilot randomized controlled trial (RCT) for homeless smokers (N = 75) in 10/2015-6/2016 at Boston Health Care for the Homeless Program. In both studies, subsistence difficulties were characterized as none, low, or high based on responses to a 5-item scale assessing the frequency of past-month difficulty finding shelter, food, clothing, a place to wash, and a place to go to the bathroom. Among survey participants, we used linear regression to assess the associations between subsistence difficulty level and readiness to quit, confidence to quit, and a composite measure of perceived barriers to quitting. Among RCT participants, we used repeated-measures logistic regression to examine the association between baseline subsistence difficulty level and carbon monoxide-defined brief smoking abstinence assessed 14 times over 8 weeks of follow-up. Analyses adjusted for demographic characteristics, substance use, mental illness, and nicotine dependence. RESULTS: Subsistence difficulties were common in both study samples. Among survey participants, greater subsistence difficulties were associated with more perceived barriers to quitting (p < 0.001) but not with cessation readiness or confidence. A dose-response relationship was observed for most barriers, particularly psychosocial barriers. Among RCT participants, greater baseline subsistence difficulties predicted less smoking abstinence during follow-up in a dose-response fashion. In adjusted analyses, individuals with the highest level of subsistence difficulty had one-third the odds of being abstinent during follow-up compared to those without subsistence difficulties (OR 0.33, 95% CI 0.11-0.93) despite making a similar number of quit attempts. CONCLUSIONS: Homeless smokers with greater subsistence difficulties perceive more barriers to quitting and are less likely to do so despite similar readiness, confidence, and attempts. Future studies should assess whether addressing subsistence difficulties improves cessation outcomes in this population. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02565381 .

Patterns of and reasons for electronic cigarette use in primary care patients.

BACKGROUND: Electronic cigarette (e-cigarette) use is rising in both the general and clinical populations. Little is known about e-cigarette use in primary care, where physicians report discussing e-cigarette use with patients. OBJECTIVE: Identify how and why smokers in primary care use e-cigarettes. DESIGN: Cross-sectional secondary data analysis from a randomized controlled trial of a tablet intervention to deliver the 5As for smoking cessation in primary care. PARTICIPANTS: Current smokers aged 18 and older in three primary care clinics in San Francisco, CA (N = 788). MAIN MEASURES: Patients reported sociodemographics, cigarette smoking habits, quitting readiness, and ever and current use of e-cigarettes. We also asked reasons they have used or would use e-cigarettes. ICD-9 codes from the medical record determined comorbidities. KEY RESULTS: Fifty-two percent (n = 408) of patients reported ever using an e-cigarette, and 20% (n = 154) reported past-30-day use. Ever e-cigarette use was associated with younger age and negatively associated with being seen at practices at a public safety-net hospital compared to a practice at University-affiliated hospital. The most common reason for having used e-cigarettes among ever e-cigarette users, and for interest in future use of e-cigarettes among never e-cigarette users, was to cut down cigarette use. The mean number of days of e-cigarette use in the past 30 increased with duration of e-cigarette use. Most current e-cigarette users did not know the nicotine content of their e-cigarettes. CONCLUSIONS: Over half of smokers in primary care have ever used e-cigarettes, and one-fifth are currently using them. Most reported using e-cigarettes to cut down or quit cigarettes. Primary care providers should be prepared to discuss e-cigarettes with patients. Screening for e-cigarette use may help identify and treat patients interested in changing their cigarette smoking habits.

Multiple tobacco product use among young adult bar patrons in New Mexico.

INTRODUCTION: Use of non-cigarette tobacco products is common, and e-cigarette use is increasing among young adults. We aimed to identify use of other tobacco products among young adult bar patrons in the context of a bar-based intervention to decrease cigarette smoking. METHODS: 2291 cross-sectional surveys were collected from young adults in bars in Albuquerque, New Mexico using time-location sampling between 2011 and 2013 (N=1142 in 2011, N=1149 in 2012-2013), 2 and 3years into an intervention to reduce cigarette use, and analyzed in 2014-2015. Participants reported current (i.e. past 30-day) use of cigarettes, snus, dip, cigarillos, hookah, and e-cigarettes, demographics, and tobacco-related attitudes. Multiple imputation was used to account for planned missing data. Logistic regression determined correlates of multiple tobacco product use. RESULTS: Cigarette smoking in the population decreased during the intervention from 43% to 37%. Over 60% of current cigarette smokers reported poly-use, most frequently with e-cigarettes (46%) and hookah (44%), followed by cigarillos (24%), dip (15%), and snus (14%) in 2012-2013. Among cigarette smokers, current e-cigarette use increased, while use of other products decreased during the intervention. Odds of poly-use (versus smoking cigarettes only) were greater among males and those reporting past 30-day binge drinking, and lower in those who strongly believed secondhand smoke exposure is harmful. CONCLUSIONS: Among young adult bar patrons in Albuquerque, New Mexico, most cigarette smokers reported currently using at least one other tobacco product. Public health interventions should address use of all tobacco products, use of which may rise despite decreased cigarette use.

Perceptions of clinicians and staff about the use of digital technology in primary care: qualitative interviews prior to implementation of a computer-facilitated 5As intervention.

BACKGROUND: Digital health interventions using hybrid delivery models may offer efficient alternatives to traditional behavioral counseling by addressing obstacles of time, resources, and knowledge. Using a computer-facilitated 5As (ask, advise, assess, assist, arrange) model as an example (CF5As), we aimed to identify factors from the perspectives of primary care providers and clinical staff that were likely to influence introduction of digital technology and a CF5As smoking cessation counseling intervention. In the CF5As model, patients self-administer a tablet intervention that provides 5As smoking cessation counseling, produces patient and provider handouts recommending next steps, and is followed by a patient-provider encounter to reinforce key cessation messages, provide assistance, and arrange follow-up. METHODS: Semi-structured in-person interviews of administrative and clinical staff and primary care providers from three primary care clinics. RESULTS: Thirty-five interviews were completed (12 administrative staff, ten clinical staff, and 13 primary care providers). Twelve were from an academic internal medicine practice, 12 from a public hospital academic general medicine clinic, and 11 from a public hospital HIV clinic. Most were women (91 %); mean age (SD) was 42 years (11.1). Perceived usefulness of the CF5As focused on its relevance for various health behavior counseling purposes, potential gains in counseling efficiency, confidentiality of data collection, occupying patients while waiting, and serving as a cue to action. Perceived ease of use was viewed to depend on the ability to accommodate: clinic workflow; heavy patient volumes; and patient characterisitics, e.g., low literacy. Social norms potentially affecting implementation included beliefs in the promise/burden of technology, priority of smoking cessation counseling relative to other patient needs, and perception of CF5As as just "one more thing to do" in an overburdened system. The most frequently cited facilitating conditions were staffing levels and smoking cessation resources and training; the most cited hindering factors were visit time constraints and patients' complex health care needs. CONCLUSIONS: Integrating CF5As and other technology-enhanced behavioral counseling interventions in primary care requires flexibility to accommodate work flow and perceptions of overload in dynamic environments. Identifying factors that promote and hinder CF5As adoption could inform implementation of other CF behavioral health interventions in primary care.

Secondhand smoke exposure and smoking behavior among young adult bar patrons.

OBJECTIVES: We described frequency of secondhand smoke (SHS) exposure among young adults patronizing bars and associations between SHS exposure, attitudes, and smoking behavior. METHODS: We collected cross-sectional surveys from randomized time-location samples of bar patrons aged 18 to 26 years in San Diego, California, and Oklahoma City and Tulsa, Oklahoma, in 2010 to 2011. Multivariate logistic regression evaluated associations between SHS exposure, attitudes about dangers of SHS, susceptibility to smoking initiation among nonsmokers, and quit attempts among current smokers. RESULTS: More than 80% of respondents reported past 7-day exposure to any SHS, and more than 70% reported exposure at a bar. Current smokers reported more SHS exposure in cars and their own homes than did nonsmokers. Among nonsmokers, SHS exposure was associated with susceptibility to initiation, but those who believed that SHS exposure is harmful were less susceptible. Belief that SHS is dangerous was associated with quit attempts among smokers. CONCLUSIONS: Smoke-free environments and education about the harms of SHS may decrease tobacco use among young adults who frequent bars, where they are heavily exposed to SHS.

Smoking and E-Cigarette Use Among U.S. Adults During the COVID-19 Pandemic.

INTRODUCTION: With concerns about tobacco use being a risk factor for severe disease from COVID-19, understanding nicotine- and tobacco-use patterns is important for preventive efforts. This study aims to understand changes in combustible cigarette and E-cigarette use among U.S. adults. METHODS: In August 2020, a cross-sectional survey of a nationally representative sample of adults aged ≥18 years in the National Opinion Research Center's AmeriSpeak Panel who reported past 6-month use of combustible cigarettes or E-cigarettes was conducted. Multivariable logistic regression assessed the factors associated with increased product use and quit attempts since hearing about COVID-19. RESULTS: A total of 1,024 past 6-month cigarette smokers/E-cigarette users were surveyed. Among cigarette smokers, 45% reported no change in cigarette smoking, and 33% reported increased cigarette smoking since hearing about COVID-19. Higher stress was associated with increased cigarette smoking. Among E-cigarette users, 41% reported no change in E-cigarette use, and 23% reported increasing E-cigarette use. A total of 26% of cigarette smokers and 41% of E-cigarette users tried to quit because of COVID-19. Higher perceived risk of COVID-19 was associated with attempts to quit combustible cigarettes (AOR=2.37, 95% CI=1.59, 3.55) and E-cigarettes (AOR=3.14, 95% CI=1.73, 5.70). CONCLUSIONS: Cigarette and E-cigarette use patterns varied in response to the COVID-19 pandemic. Most cigarette smokers and E-cigarette users perceived product use as increasing COVID-19‒related health risks, and this was associated with attempts to quit. Some cigarette smokers, especially those reporting higher stress, increased product use. Proactive provision of cessation support to smokers and E-cigarette users may help mitigate the stress-related increases in product use during the COVID-19 pandemic.

Perceptions of E-cigarettes among adults in treatment for opioid use disorder.

Background: Individuals with opioid use disorder (OUD) have a high prevalence of smoking and limited success quitting smoking with existing tools. There is ongoing debate about whether electronic cigarettes (e-cigarettes) may be a viable harm reduction strategy. We sought to determine the potential acceptability of e-cigarettes for cigarette harm reduction among individuals receiving medication treatment for opioid use disorder (MOUD) with buprenorphine. Among individuals receiving MOUD we investigated health harm perceptions of cigarettes, nicotine e-cigarettes, and nicotine replacement therapy (NRT), and perceptions of the helpfulness of e-cigarettes and NRT for quitting cigarettes. Methods: Cross-sectional telephone survey conducted among adults in buprenorphine treatment at five community health centers in the Boston, MA metropolitan area from February to July 2020. Results: 93% and 63% of participants rated cigarettes and e-cigarettes, respectively, as very or extremely harmful to health, and 62% rated NRT as not to slightly harmful to health. Over half (58%) rated cigarettes as more harmful than e-cigarettes; 65% and 83% perceived e-cigarettes and NRT, respectively, to be helpful for reducing/quitting cigarette use. In bivariate analyses, nicotine e-cigarette users, compared to nonusers, perceived e-cigarettes to be less harmful to health and more often rated e-cigarettes as helpful for reducing/quitting cigarette use (both p<0.05). Conclusions: This study suggests that Massachusetts patients receiving MOUD with buprenorphine have concerns about the health harms of e-cigarettes yet rate them as helpful tools for reducing or quitting cigarette smoking. Future research is needed to test the efficacy of e-cigarettes for cigarette harm reduction.