In a 2x2 design, current menthol smokers (N=240) will complete a baseline period before being assigned to a cigarette (menthol or non-menthol) and e-cigarette condition (menthol or tobacco-flavored e-liquid) and receiving a 7-week supply of cigarettes and e-cigarettes. The study builds upon our well-established methodology for simulating tobacco regulatory policies. To model a ban, smokers will be instructed to only use their assigned products. Primary outcomes include cigarette smoking and e-cigarette use during Week 6. However, because a menthol ban may impact the ability to abstain from smoking, we will incentivize participants to abstain from smoking during Week 7 (continued e-cigarette use allowed) and assess the time to first lapse. Participants will complete daily electronic diaries assessing tobacco product use throughout, which will be corroborated by biomarkers for menthol, nicotine, and smoke. Finally, to maximize the utility of these data for FDA regulation, we will assess whether any demographic or baseline smoking characteristics moderate the observed treatment effects, calibrate the treatment effects to the US adult menthol smoking population, and model the effects of menthol regulation in cigarettes and e-cigarettes on smoking and vaping-attributable deaths and life-years lost.

In a 2x2 design, current menthol smokers (N=240) will complete a baseline period before being assigned to a cigarette (menthol or non-menthol) and e-cigarette condition (menthol or tobacco-flavored e-liquid) and receiving a 7-week supply of cigarettes and e-cigarettes. The study builds upon our well-established methodology for simulating tobacco regulatory policies. To model a ban, smokers will be instructed to only use their assigned products. Primary outcomes include cigarette smoking and e-cigarette use during Week 6. However, because a menthol ban may impact the ability to abstain from smoking, we will incentivize participants to abstain from smoking during Week 7 (continued e-cigarette use allowed) and assess the time to first lapse. Participants will complete daily electronic diaries assessing tobacco product use throughout, which will be corroborated by biomarkers for menthol, nicotine, and smoke. Finally, to maximize the utility of these data for FDA regulation, we will assess whether any demographic or baseline smoking characteristics moderate the observed treatment effects, calibrate the treatment effects to the US adult menthol smoking population, and model the effects of menthol regulation in cigarettes and e-cigarettes on smoking and vaping-attributable deaths and life-years lost.

In a 2x2 design, current menthol smokers (N=240) will complete a baseline period before being assigned to a cigarette (menthol or non-menthol) and e-cigarette condition (menthol or tobacco-flavored e-liquid) and receiving a 7-week supply of cigarettes and e-cigarettes. The study builds upon our well-established methodology for simulating tobacco regulatory policies. To model a ban, smokers will be instructed to only use their assigned products. Primary outcomes include cigarette smoking and e-cigarette use during Week 6. However, because a menthol ban may impact the ability to abstain from smoking, we will incentivize participants to abstain from smoking during Week 7 (continued e-cigarette use allowed) and assess the time to first lapse. Participants will complete daily electronic diaries assessing tobacco product use throughout, which will be corroborated by biomarkers for menthol, nicotine, and smoke. Finally, to maximize the utility of these data for FDA regulation, we will assess whether any demographic or baseline smoking characteristics moderate the observed treatment effects, calibrate the treatment effects to the US adult menthol smoking population, and model the effects of menthol regulation in cigarettes and e-cigarettes on smoking and vaping-attributable deaths and life-years lost.

In a 2x2 design, current menthol smokers (N=240) will complete a baseline period before being assigned to a cigarette (menthol or non-menthol) and e-cigarette condition (menthol or tobacco-flavored e-liquid) and receiving a 7-week supply of cigarettes and e-cigarettes. The study builds upon our well-established methodology for simulating tobacco regulatory policies. To model a ban, smokers will be instructed to only use their assigned products. Primary outcomes include cigarette smoking and e-cigarette use during Week 6. However, because a menthol ban may impact the ability to abstain from smoking, we will incentivize participants to abstain from smoking during Week 7 (continued e-cigarette use allowed) and assess the time to first lapse. Participants will complete daily electronic diaries assessing tobacco product use throughout, which will be corroborated by biomarkers for menthol, nicotine, and smoke. Finally, to maximize the utility of these data for FDA regulation, we will assess whether any demographic or baseline smoking characteristics moderate the observed treatment effects, calibrate the treatment effects to the US adult menthol smoking population, and model the effects of menthol regulation in cigarettes and e-cigarettes on smoking and vaping-attributable deaths and life-years lost.

This study evaluates whether non-cigarette tobacco products (e-cigarettes) can help smokers quit smoking as compared to traditional quit methods (nicotine replacement therapy or varenicline/Chantix). Participants in this study will be randomly assigned to one of two groups, then will have a choice between the offered products of that group. Participants in the e-cigarette group will have a choice of e-cigarette brand and flavor. Participants in the medication group will have choice between nicotine replacement therapy (patches and lozenges) or varenicline, also known as Chantix. Participation will last 6 months and will include weekly phone calls for the initial 7-weeks plus a 11-week phone call and a 6-month follow-up visit. Participants will also complete electronic daily diaries during the first 7-weeks.

This study is seeking to assess two known risk factors of drowning, swimming ability and water safety knowledge, in parents of children and adolescents presenting to the pediatric emergency department using questionnaires.

By collecting this data, we hope to highlight factors that contribute to disparities in drowning rates in minority racial and ethnic groups and to aid local and federal governments in developing programs that effectively combat the number one cause of unintentional injury-associated death in children ages 1-4 years. This will also provide data that may help guide pediatricians in effective anticipatory guidance for families regarding water safety. All in the effort to minimize disparities in medicine and provide more equitable care to the patients that we see.

This is a small, test study to see if mailing buprenorphine works for patients with opioid use disorder and a recent medical hospitalization. It tries to remove some of the existing barriers to make it easier to stay in treatment and make it easier for individuals to keep taking their medicine after discharge. The purpose of this research study is to determine if mailing buprenorphine is possible, acceptable, and look at the early results of how well it works.

Youth participation in healthcare is becoming more prevalent, and outcomes are improved when youth have a voice in decisions. Little is known about how much adolescents participate in decision-making about vaccinations including "optional" vaccines or those not required for school attendance. This is a survey to evaluate the extent to which adolescents were involved in the decision to be vaccinated for 4 common vaccines: FLU (influenza), COVID (SARS-CoV-2 virus), MEN (meningococcemia), and HPV (Human Papilloma Virus).