The primary study endpoints include PPA (point prevalence of abstinent rate) and PA (prolonged abstinence), used for calculating OR (95%CI) between the two study arms by logistic regression. Changes in FTND score and CO-levels represent intermediate surrogate endpoints of PP and PA. In addition, time to quit (TTQ) and duration of quit (QT=quit time) can be used as dependent variables in univariate (Kaplan-Meier) and multivariate (Cox) survival analyses. GEE and Poisson models are used to estimate the covariates (Acetium/Placebo) of i) persistence of abstinence, and ii) quit events (events/person time at risk), respectively, based on multiple records (panel data) in a longitudinal setting. Finally, the predictors of the multiple outcomes in this intervention trial can be estimated using the novel competing-risks regression model, where i) no effect, ii) permanent quit, iii) temporary quit with relapse, and iv) smoking reduction, represent the competing-risks events.