The goal of the work is to study the relationship between the frequency of "drunken days" (DD) and the use of other psychoactive substances (nicotine (cigarettes), prescription psychotropic drugs not for the intended purpose (PPD-NFIP), marijuana and other drugs).

In four regions of Ukraine (Kharkiv, Luhansk and Zaporizhzhia regions, as well as the city of Kyiv), 1742 people were examined during 2018-2021, who belonged to four comparison groups: patients with alcohol dependence (AD) (393 people); healthy relatives of AD patients (274 people); representatives of the general population comparable with the representatives of the first two age groups (334 people) and students of 3, 4 courses of medical universities (741 people).

The main research instruments were the questionnaire of the international research consortium GENAHTO (Gender, Alcohol, and Harms to Others). The obtained data were processed by methods of mathematical statistics (variance, correlation and regression analysis) on a computer using Excel 2016 computational tables (with the Data Analysis package).

Using a two-stage algorithm for analyzing the initial data (under conditions of their high variance), it was shown that the regression dependence of the main characteristics of addictive behavior on the frequency of DD is nonlinear, optimally described by polynomials of the third degree, with the only exception to this rule being the regression dependence of the daily number of cigarettes on the frequency of PD, which is optimally described by a linear equation (first degree equation). It was found that the formation of alcohol dependence is accompanied by a decrease in the frequency of use of PPD-NFIP and other drugs, but not marijuana, possibly because it (like alcohol) is a depressant of the central nervous system and therefore can form with the alcohol a basis for the formation of comorbid dependence on two psychoactive substances simultaneously.