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2007 National Roadside Survey of Alcohol and Drug Use by Drivers

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<strong>2007</strong> <strong>National</strong> <strong>Roadside</strong> <strong>Survey</strong> <strong>of</strong> <strong>Alcohol</strong> <strong>and</strong> <strong>Drug</strong> <strong>Use</strong> <strong>by</strong> <strong>Drivers</strong>: <strong>Drug</strong> ResultsTable 126. <strong>Drug</strong> Categories Distribution <strong>by</strong> Region (Oral Fluid <strong>and</strong>/or Blood)RegionMidwestNortheastSouthWest<strong>Drug</strong> CategoryN(Unweighted)%(Weighted)Illegal 197 12.7%Medications 97 3.5%Illegal & Medications 19 0.6%Negative 1,395 83.1%Overall 1,708 100.0%Illegal 121 11.3%Medications 43 4.6%Illegal & Medications 17 2.4%Negative 938 81.7%Overall 1,119 100.0%Illegal 145 10.9%Medications 79 3.8%Illegal & Medications 28 1.6%Negative 1314 83.7%Overall 1,566 100.0%Illegal 158 11.3%Medications 58 3.9%Illegal & Medications 14 1.1%Negative 1287 83.7%Overall 1,517 100.0%“Medications” includes prescription <strong>and</strong> over-the-counter drugs.When examining prevalence <strong>by</strong> drug category <strong>and</strong> gender (Table 127), we found that maledrivers were more likely to be positive for “Illegal” drugs (combining the categories for “Illegal”<strong>and</strong> “Illegal <strong>and</strong> Medications”) than female drivers (14.4% male vs. 8.5 % female) (p < .01).GenderMaleFemaleTable 127. <strong>Drug</strong> Categories <strong>by</strong> Gender (Oral Fluid <strong>and</strong>/or Blood)<strong>Drug</strong> CategoryN(Unweighted)%(Weighted)Illegal 444 13.1%Medications 136 3.5%Illegal & Medications 53 1.3%Negative 3,001 82.0%Overall 3,634 100.0%Illegal 176 8.0%Medications 141 6.6%Illegal & Medications 25 0.5%Negative 1,920 84.9%Overall 2,262 100.0%“Medications” includes prescription <strong>and</strong> over-the-counter drugs.97

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