Alcohol abuse is still one of the leading causes of death worldwide. Early diagnosis of alcohol abuse enables preventive intervention on the effects and risks associated with its consumption. Carbohydrate-deficient transferrin (CDT) is one of the most reliable biomarkers of chronic alcohol misuse. We retrospectively studied a population of 12,624 subjects who had their driving license suspended for driving under the influence of alcohol or drugs from 2016 to 2022. The analytical determination of CDT was performed following a certified high-performance liquid chromatography (HPLC) method. Data were split by year, age and gender. The majority of subjects with positive %CDT were male, although the trend of positivity was similar between males and females. A steady increase in both the number of tests performed and the number of positives was observed over the years. Patients aged 41–50 years had the highest prevalence, followed by 51–60, 31–40 and 18–30 years. CDT continues to be a steady marker for diagnosis of alcohol abuse in the majority of cases. Data emerging from our study are in line with the increasing national trends on traffic accidents, injuries and deaths related to alcohol and drug DUI (driving under the influence), requiring the implementation of preventive measures to limit this ever-growing phenomenon.

Background: Drugged driving is associated with an increased risk of road accidents worldwide. In Italy, driving under the influence (DUI) of alcohol and drugs is a reason for driving disqualification or revocation of the driving license. Drivers charged with driving under the influence of alcohol and drugs must attend a Local Medical Commission (LMC) to undergo mandatory examinations to regain the suspended license. Our study mainly aims to report on the analysis performed on hair samples collected from 7560 drivers who had their licenses suspended for drugged or drunk driving between January 2019 and June 2024. Methods: A rapid, sensitive, and selective method for the determination of ethyl glucuronide in hair by UPLC/MS-MS was developed and fully validated. Results: The most frequently detected substances were cocaine (ecgonine methyl ester, norcocaine, and benzoylecgonine) and cannabinoids (Δ9-tetrahydrocannabinol, cannabidiol, and cannabinol), followed by opiates (codeine, morphine, and 6-MAM), methadone (EDDP), and amphetamines (amphetamine, methamphetamine, MDA, MDMA, and MDEA). To perform a more in-depth analysis, we also compared hair color with the drug classes that tested positive. The results showed a significant prevalence of dark hair that tested positive for one or more substances, followed by gray/white hair and light hair. Conclusions: Our study provides an interesting and alarming insight into drug exposure in the general population with serious public health threats, discussing the main aspects of hair matrix analysis and focusing on its advantages and reliability in the interpretation of results.

Alcohol is responsible for an ever-increasing number of deaths worldwide, and many road accidents are caused by irresponsible drinking and driving. The use of biomarkers that can support a diagnosis of alcohol abuse is a very important tool that can improve the prevention of many alcohol-related diseases and serious traffic accidents. The main aim of our study was the full validation of a rapid and simple method by ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to detect ethyl glucuronide in hair (hEtG). The method was successfully applied to n = 171 real hair samples collected from drivers convicted of driving while impaired by alcohol or drugs. A comparison of hEtG and serum Carbohydrate-Deficient Transferrin percentages (% CDT) was also performed to carefully evaluate the data in relation to the specific detection windows of the two different biomarkers. Most of the drivers with hEtG > 30 pg/mg were males in their thirties. None of the hEtG-positives had a serum % CDT above the cutoff (≥2%). Although some researchers suggest caution until solid data are available on the possible effects of interindividual variability that may influence EtG incorporation and metabolism, hEtG is a very useful biomarker of long-term alcohol exposure that shows greater reliability than traditional blood markers.

The use of benzodiazepines is strongly associated with an increased risk of traffic accidents due to their side effects of sedation and drowsiness, which can significantly impair driving performance. The main aim of our study was to investigate the trend of benzodiazepine use over nine years (2015–2023) in a population of 15,988 subjects who had their license suspended for driving under the influence (DUI) of alcohol or drugs. Among the 15,988 users accessed to our laboratory, 924 tested positive for at least one benzodiazepine. An increase in the number of positive-testing users was observed in the period 2015–2018, followed by a slight decrease in 2019. Overall, the trend of benzodiazepine use was stable over the next four years (2020–2023), with the highest incidence in 2022. The most common benzodiazepines, and/or metabolites, found in urine samples were α-OH-alprazolam (28.66%; n = 366) and oxazepam (27.25%; n = 348). Several cases of mixed positivity were observed in the study population. The main substances taken with benzodiazepines were cocaine and Δ9-tetrahydrocannabinol. Our findings suggest that people taking benzodiazepines should be monitored, as these have a relevant impact on driving ability in addition to significant interindividual differences in the behavioral effects of benzodiazepines on driving performance.

In Italy, the law on road homicide (Law no. 41/2016) introduced specific provisions for drivers who cause severe injuries or death to a person due to the violation of the Highway Code. The use of alcohol or drugs while driving constitutes an aggravating circumstance of the offence and provides for a tightening of penalties. Our study aims to report on the analysis performed on blood samples collected between January 2018 and December 2024 from drivers convicted of road homicide and who tested positive for alcohol and/or drugs. The majority of the involved subjects were males belonging to the 18–30 and 41–50 age groups. Alcohol, cocaine and cannabinoids were the most detected substances and the most frequent polydrug combination was alcohol and cocaine. We also investigated other influencing factors in road traffic accidents as the day of the week and the time of the day in which fatal road traffic accident occurred, and the time elapsed between the road accident and the collection of biological samples. Our data, in line with the international scenario, strongly support that, in addition to the tightening of penalties, raising awareness plays a key role in preventing alcohol- and drug-related traffic accidents by increasing risk perception and encouraging safer driving behaviors.