Accident rate have a high social cost. Cocaine consumption increases the risk of traffic crashes (Monras, 2011; Fierro, 2011). However, there is not extensively studies in addicts.

Compare and analyze the history of accidents and risk behaviors while driving in cocaine dependent patients (DC) and of other substances (OtherD).

One hundred and eighty-two patients seeking treatment since January 2014 to September 2015. Sociodemographic and accident-related variables were collected, also administered the MDBQ. Descriptive analysis and bivariate analysis using Chi-square test for categorical variables and Student t test was performed for quantitative.

Of women, 30.3%, and 69.7% men, mean age 43.67 years (SD=13). 65.6% currently driving or above. 45.2% DC vs. 54.8 DOther (35.6% alcohol, cannabis 8.3%, 5.8% opioid and 5.1% other drugs).

Comparing accident rate on the DC is a tendency to have suffered more accidents (χ²: 2.62 P=.072). Patients addicted to cocaine referred further potentially dangerous activities both under the influence of consumption (65.9% vs. 33.3%) and abstinence (41.7% vs. 12%).

As for the results of MDBQ, it has been detected that cocaine addicts show more errors and traffic violations. No differences in the lapses identified by patients of different groups.

Patients with cocaine dependence have more accidents, reduced risk perception and recognize more mistakes and traffic violations. Cocaine implies a high risk of road accidents and exposure to high-risk situations compared to the use of other substances.

References not available.