Comparing Drug Detection in Oral Fluid and Blood: Data From a National Sample of Nighttime Drivers

Abstract

Objective: The National Roadside Survey is a study undertaken in the United States to determine the prevalence of alcohol and drugs in randomly selected drivers. Following the success of a 2006 pilot study, the 2007 survey incorporated, for the first time, the collection of biological specimens for drug analysis. This article compares the results obtained from blinded analyses of pairs of oral fluid and blood samples obtained from the same subject.

Methods: During the 2007 survey, more than 7000 nighttime drivers were randomly stopped and surveyed for their self-reported drug use and were requested to donate an oral fluid specimen using the Quantisal (Immunalysis Corporation, Pomona, CA) device and a blood sample. Overall, 5869 oral fluid specimens were collected from nighttime drivers with 3236 corresponding blood samples.

Results: Biological specimens were analyzed for a wide range of drugs. At nighttime, 14.4 percent of the drivers were positive for drugs in oral fluid, with just over half of those having marijuana present (7.6%). Of the 3236 pairs of specimens, 2676 were negative for all drugs, and 326 matched pairs of samples were both positive, out of which 247 (75.8%) were an exact match for all drug classes and 70 (21.5%) were positive for at least one common drug class.

Conclusions: Oral fluid and blood samples provided very similar information regarding recent drug intake by randomly tested drivers and oral fluid yielded a higher detection rate for one drug (cocaine) than blood. Oral fluid can be considered a reliable alternative to blood as a matrix for drug testing.

Keywords:

• oral fluid
• blood
• National Roadside Survey
• drug testing

Acknowledgments

The authors acknowledge the National Highway Traffic Safety Administration (2007 Roadside Survey of Alcohol and Drugged Driving, Contract No. DTNH22-06-C-00040) and the National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism (Estimating the Prevalence of Alcohol Use Disorders Among At-Risk Drivers, Grant No. R01 AA16407).