ReviewMolecules (Basel, Switzerland)2021
Roadside Drug Testing Approaches.
Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 28 citations in OpenAlex.
- Exploratory Diagnostic Performance of Salivary Cortisol for Initial Assessment of Recent Exposure to Interpersonal Physical Violence: A Preliminary Study.Diagnostics (Basel, Switzerland) · 2026Article
- Evaluation of DrugWipe® 6S with the WipeAlyser® reader for drug screening of drivers.Journal of analytical toxicology · 2025Article
- Lessons Learned from Liver-on-Chip Platform.Annals of biomedical engineering · 2025Review
- Kazakhstani Drivers and Substance Abuse During COVID-19: A Study of Patterns and Disaster Readiness.Healthcare (Basel, Switzerland) · 2025Article
- Drug Use and Road Traffic Injuries- Shots in the Dark.Indian journal of psychological medicine · 2024Article
- Article
- Interpol review of toxicology 2019-2022.Forensic science international. Synergy · 2023Review
- Portable Digital Linear Ion Trap Mass Spectrometer Based on Separate-Region Corona Discharge Ionization Source for On-Site Rapid Detection of Illegal Drugs.Molecules (Basel, Switzerland) · 2022Article
- Cannabis and Driving.Frontiers in psychiatry · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
The purpose of this review is to present an overview of roadside drug testing, driving enforcement, and drunk/drug driving detection around the world. Drunk and drug driving is a severe problem, not only in the UAE, but also around the world. This has important implications for road safety as drunk or drug driving may increase the chances of a driver's involvement in a road crash when compared to a drug-free driver. Recently, due to increases in drug-impaired drivers' crash involvement, many mobile roadside drug testing devices have been introduced to the market. These devices use oral fluid, urine or blood matrices. These are on-the-spot tests, which are easy to use and are applied by law enforcement agencies and the public. Law enforcement agencies most commonly use oral fluid to detect the presence of illicit drugs in drivers. This review discusses all the available devices in the market used by the authorities. It also describes the type of drugs widely abused by drivers along with behavioral testing methods. The different types of matrices used for roadside drug testing are also evaluated. Sample collection, storage, and pre-treatment methods are discussed, followed by the confirmatory analysis of positive samples. This article will significantly help law enforcement agencies compare and evaluate all the reliable roadside testing devices and new emerging confirmatory devices available to them in the market. This will help them make an informed decision on which device to adapt to their individual needs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.