Attention tasks as skills performance measures of drug effects.

Moskowitz, H · 1984 · OpenAlex-citations

DOI: 10.1111/j.1365-2125.1984.tb02582.x

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Summary

This paper examines the utility of attention tasks as sensitive measures for evaluating the effects of psychotropic drugs on skilled human performance, particularly in contexts like driving and flying. The research is motivated by empirical evidence that the majority of driver-related errors leading to accidents stem from perceptual and cognitive failures, specifically involving attention. The author argues that because simple sensory measures (e.g., visual acuity) often fail to detect impairment at low drug concentrations, complex cognitive tasks that model real-world information processing demands are necessary for accurate assessment. The study focuses on two primary cognitive components: concentrated attention (vigilance) and divided attention. The methodology involves experimental paradigms designed to isolate these attention functions. Concentrated-attention tasks, such as vigilance tests, require sustained monitoring over extended periods (45–60 minutes) with low information processing demands. Divided-attention tasks require the simultaneous performance of two or more subtasks, creating an information overload that necessitates time-sharing or serial processing. The paper details specific experiments, including a visual task where subjects monitored a central fixation light while detecting peripheral signals, and a driving simulator study. These tasks were administered to subjects under various drug conditions, including ethanol, marijuana (tetrahydrocannabinol), flurazepam, diazepam, diphenhydramine, and caffeine, often in combination with ethanol. The findings demonstrate that different drugs impair attention tasks differentially. Ethanol significantly impaired divided-attention performance, particularly when central visual information processing demands were high, but had little to no effect on concentrated-attention (vigilance) tasks or simple sensory functions at low blood alcohol concentrations. Conversely, marijuana impaired both concentrated and divided attention, with significant deficits in signal detection and vigilance performance, suggesting a different behavioral site of impairment than ethanol. Other drugs, including flurazepam and diazepam, produced significant and prolonged impairment on divided-attention tasks, affecting response times, tracking errors, and signal detection. The divided-attention task proved highly sensitive, detecting impairment at blood alcohol concentrations below 0.02% and distinguishing between the effects of individual drugs and their combinations. The significance of this work lies in establishing that attention tasks are critical tools for assessing drug-induced impairment in skills performance. The results highlight that the sensitivity of a test depends on its cognitive demands; tasks requiring divided attention are more effective than simple sensory tests for detecting ethanol impairment, while vigilance tasks are necessary to capture marijuana’s effects. The paper concludes that a comprehensive battery of attention tasks is essential for developing a behavioral taxonomy of drug effects, linking neuropharmacological findings to real-world performance deficits in complex man-machine interactions.

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