Potential for Application of Corneal Retinal Potential Measurements to Detect Alcohol and Drug Use: A Report to Congress

Farina, Alfred · 1988 · ROSA P / United States. National Highway Traffic Safety Administration

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Summary

This 1988 report by the National Highway Traffic Safety Administration (NHTSA) evaluates the potential of Corneal Retinal Potential (CRP) measurements to detect alcohol and drug use, as mandated by the Highway Safety Act of 1987. The technology, embodied in the Veritas™ 100 Analyzer, utilizes an electronystagmograph (ENG) to record electrical potentials generated by eye movements, which are influenced by the body’s balance system. The report investigates whether drugs and alcohol produce characteristic "signatures" in ENG waveforms, if human experts can reliably identify these signatures, and if these diagnostic skills can be computerized for widespread law enforcement application. Due to developmental delays in the Veritas™ device, NHTSA could not conduct active field testing; instead, the assessment relies on a review of existing research data provided by the developers, Dr. S. Thomas Westerman and Liane Gilbert. The review addresses three core questions regarding the technology's validity. First, regarding the existence of drug signatures, the report notes that early research was exploratory and flawed by confounding variables such as subject medical conditions and anesthesia. However, later studies suggest that drugs do produce subtle, complex differences in ENG waveforms that are distinct from normal physiological variations. Second, concerning human diagnostic accuracy, the developers demonstrated high proficiency in identifying drug presence. In a study involving 245 subjects and 392 waveforms, two experts correctly identified drug families 96.3% of the time, with a false positive rate of only 0.25%. Despite this accuracy, the report highlights that the research lacked independent verification and often failed to meet standard scientific reporting protocols, creating barriers to acceptance. Third, the report examines the computerization of these diagnostics. An algorithm for alcohol detection had been developed and tested, showing strong performance. It identified alcohol-free subjects nearly 100% of the time and detected subjects with blood alcohol concentrations above 0.10% more than 90% of the time. However, performance declined for lower alcohol levels (below 0.05%). Crucially, algorithms for other drug families, such as cocaine, opiates, and marijuana, were either incomplete or untested. The Veritas™ device itself remained in development, lacking the necessary software for multi-drug detection and field-ready hardware. The report concludes that while the foundational science of ENG technology is sound and the concept of drug-specific signatures appears plausible, there is insufficient practical evidence to judge its utility for field drug detection. Significant hurdles remain, including the development and independent validation of algorithms for various drugs and combinations, the production of field-ready equipment, and the establishment of legal admissibility. The technology is viewed as a pioneering effort that could eventually serve as a screening tool to identify drug presence, prompting further quantitative testing, but it is not yet capable of measuring impairment or dosage levels.

Key finding

Human experts correctly identified drug and alcohol presence in ENG waveforms with 96.3 percent accuracy, and an alcohol-specific algorithm identified subjects with high blood alcohol levels more than 90 percent of the time.

Methodology

review

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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• dms validation

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• Methodological Resource: validation psychometrics