Why do People Stop Their Drug Use? Results from a General Population Sample

1999 ◽  
Vol 26 (4) ◽  
pp. 695-710 ◽  
Author(s):  
John A. Cunningham ◽  
Anja Koski-Jännes ◽  
Tony Toneatto
1995 ◽  
Vol 10 (4) ◽  
pp. 175-182 ◽  
Author(s):  
MG Madianos ◽  
D Gefou-Madianou ◽  
CN Stefanis

SummaryA cross-sectional home survey on the epidemiology of drug use in Greece, with a nationwide general population sample of 4,291 respondents aged 12 to 64, was carried out. The weighted life prevalence of reported illicit drug use in the total sample was found to be 9% among males and 2.5% among females, with a ratio of 3.6: 1. Six and a half percent of males of all ages had used, at some time, licit psychotropic drugs without a doctor's order, while females presented much higher prevalence rates (14.9%). Young adults reported higher rates of both illicit and licit lifetime and past-year use, compared to the other age groups. Illicit drug use was less common, in females of all ages. Cannabis was the most common illicit drug used. Current as well as lifetime use of pain relievers without a doctor's prescription was found to be highest among all other licit substances. This holds true for all age groups and for both sexes. Tranquillizers were predominantly used by females of all ages. Certain sociodemographic variables, such as sex, educational level, marital status, place of residence and occupational status were found to be related to drug use in Greece.


2013 ◽  
Vol 170 (6) ◽  
pp. 660-670 ◽  
Author(s):  
Wilson M. Compton ◽  
Deborah A. Dawson ◽  
Kevin P. Conway ◽  
Marc Brodsky ◽  
Bridget F. Grant

Addiction ◽  
2016 ◽  
Vol 112 (3) ◽  
pp. 477-485 ◽  
Author(s):  
Michelle Taylor ◽  
John Sullivan ◽  
Susan M. Ring ◽  
John Macleod ◽  
Matthew Hickman

2014 ◽  
Vol 3 (4) ◽  
pp. 277-287 ◽  
Author(s):  
Kristina Sinadinovic ◽  
Peter Wennberg ◽  
Anne H. Berman

Sinadinovic, K., Wennberg, P., & Berman, A. (2014). Short-term changes in substance use among problematic alcohol and drug users from a general population sample. The International Journal Of Alcohol And Drug Research, 3(4), 277-287. doi:http://dx.doi.org/10.7895/ijadr.v3i4.186Aims: To investigate 12-month changes among individuals with baseline problematic use of alcohol or illicit drugs, by gender, age, initial level of substance use, and administration method (Internet or Interactive Voice Response, IVR).Design: 1,861 individuals from a random population sample were screened for problematic alcohol and illicit drug use. Individuals screening positive were followed up after 12 months.Setting: The Swedish general population.Participants: 423 individuals with baseline problematic alcohol (women: AUDIT ≥ 6, men: AUDIT ≥ 8) or drug use (both genders: DUDIT ≥ 1).Measures: AUDIT, DUDIT, AUDIT-C and DUDIT-C scores.Findings: AUDIT scores decreased from 10.43 to 8.62; among 239 participants with baseline problematic alcohol use, 34.3% no longer had problematic use at follow-up. Total DUDIT scores decreased from 4.92 to 2.33; among 51 participants with baseline problematic drug use, 60.8% reported no illicit drug use at follow-up. AUDIT and DUDIT scores decreased more for individuals who at baseline had harmful problematic use, compared to those who had hazardous baseline use. Within-group effect sizes for AUDIT and DUDIT scores varied between 0.29 and 0.69 (Cohen’s d).Conclusions: Data on short-term change in problematic substance use in a random general population sample could constitute a reference point for comparisons for uncontrolled treatment studies.


AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110285
Author(s):  
Tom Rosman ◽  
Samuel Merk

We investigate in-service teachers’ reasons for trust and distrust in educational research compared to research in general. Building on previous research on a so-called “smart but evil” stereotype regarding educational researchers, three sets of confirmatory hypotheses were preregistered. First, we expected that teachers would emphasize expertise—as compared with benevolence and integrity—as a stronger reason for trust in educational researchers. Moreover, we expected that this pattern would not only apply to educational researchers, but that it would generalize to researchers in general. Furthermore, we hypothesized that the pattern could also be found in the general population. Following a pilot study aiming to establish the validity of our measures (German general population sample; N = 504), hypotheses were tested in an online study with N = 414 randomly sampled German in-service teachers. Using the Bayesian informative hypothesis evaluation framework, we found empirical support for five of our six preregistered hypotheses.


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