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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 108. BAC <strong>of</strong> <strong>Drivers</strong> <strong>by</strong> <strong>Drug</strong> Category <strong>and</strong> Age (Blood) ................................................. 88Table 109. BAC <strong>of</strong> <strong>Drivers</strong> <strong>by</strong> <strong>Drug</strong> Category <strong>and</strong> Gender (Blood)............................................ 89Table 110. Nighttime <strong>Drug</strong> Prevalence <strong>by</strong> Time <strong>of</strong> Day (Oral Fluid <strong>and</strong>/or Blood).................... 90Table 111. <strong>Drug</strong> Prevalence <strong>by</strong> Session (Oral Fluid <strong>and</strong>/or Blood) ............................................. 90Table 112. <strong>Drug</strong> Prevalence <strong>by</strong> Region (Oral Fluid <strong>and</strong>/or Blood).............................................. 90Table 113. <strong>Drug</strong> Prevalence <strong>by</strong> Gender (Oral Fluid <strong>and</strong>/or Blood).............................................. 91Table 114. <strong>Drug</strong> Prevalence <strong>by</strong> Age (Oral Fluid <strong>and</strong>/or Blood)................................................... 91Table 115. <strong>Drug</strong> Prevalence <strong>by</strong> Age <strong>and</strong> Gender (Oral Fluid <strong>and</strong>/or Blood) ............................... 92Table 116. <strong>Drug</strong> Prevalence <strong>by</strong> Race/Ethnicity (Oral Fluid <strong>and</strong>/or Blood).................................. 92Table 117. <strong>Drug</strong> Prevalence <strong>by</strong> Education Level (Oral Fluid <strong>and</strong>/or Blood) ............................... 93Table 118. <strong>Drug</strong> Prevalence <strong>by</strong> Employment Status (Oral Fluid <strong>and</strong>/or Blood).......................... 93Table 119. <strong>Drug</strong> Prevalence <strong>by</strong> Vehicle Type (Oral Fluid <strong>and</strong>/or Blood).................................... 93Table 120. Number <strong>and</strong> Distribution <strong>of</strong> <strong>Drug</strong> Classes (Oral Fluid <strong>and</strong>/or Blood) ....................... 94Table 121. Number <strong>and</strong> Distribution <strong>of</strong> <strong>Drug</strong> Classes (<strong>Drug</strong> Positives Only) (Oral Fluid <strong>and</strong>/orBlood) ................................................................................................................................... 94Table 122. <strong>Drug</strong> Classes Distribution <strong>by</strong> Region (Oral Fluid <strong>and</strong>/or Blood) ............................... 95Table 123. <strong>Drug</strong> Classes Distribution <strong>by</strong> Gender (Oral Fluid <strong>and</strong>/or Blood)............................... 95Table 124. <strong>Drug</strong> Classes Distribution <strong>by</strong> Age (Oral Fluid <strong>and</strong>/or Blood).................................... 96Table 125. <strong>Drug</strong> Categories Distribution (Oral Fluid <strong>and</strong>/or Blood)............................................ 96Table 126. <strong>Drug</strong> Categories Distribution <strong>by</strong> Region (Oral Fluid <strong>and</strong>/or Blood).......................... 97Table 127. <strong>Drug</strong> Categories <strong>by</strong> Gender (Oral Fluid <strong>and</strong>/or Blood) .............................................. 97Table 128. <strong>Drug</strong> Categories Distribution <strong>by</strong> Age (Oral Fluid <strong>and</strong>/or Blood)............................... 98Table 129. <strong>Drug</strong> Prevalence <strong>by</strong> BAC (Percentages Calculated <strong>by</strong> Row) (Oral Fluid <strong>and</strong>/or Blood)............................................................................................................................................... 99Table 130. <strong>Drug</strong> Prevalence <strong>by</strong> BAC (Percentages Calculated <strong>by</strong> Column) (Oral Fluid <strong>and</strong>/orBlood) ................................................................................................................................... 99Table 131. BAC Among <strong>Drug</strong>-Positive <strong>Drivers</strong> <strong>by</strong> Age (Oral Fluid <strong>and</strong>/or Blood).................... 99Table 132. BAC Among <strong>Drug</strong>-Positive <strong>Drivers</strong> <strong>by</strong> Number <strong>of</strong> <strong>Drug</strong> Classes (PercentagesCalculated <strong>by</strong> Column) (Oral Fluid <strong>and</strong>/or Blood)............................................................. 100Table 133. BAC Among <strong>Drug</strong>-Positive <strong>Drivers</strong> <strong>by</strong> Number <strong>of</strong> <strong>Drug</strong> Classes (PercentagesCalculated <strong>by</strong> Row) (Oral Fluid <strong>and</strong>/or Blood) .................................................................. 100Table 134. BAC Among <strong>Drug</strong>-Positive <strong>Drivers</strong> <strong>by</strong> <strong>Drug</strong> Category (Oral Fluid <strong>and</strong>/or Blood). 100Table 135. BAC <strong>of</strong> <strong>Drivers</strong> <strong>by</strong> <strong>Drug</strong> Category <strong>and</strong> Age (Oral Fluid <strong>and</strong>/or Blood) .................. 101Table 136. BAC <strong>of</strong> <strong>Drivers</strong> <strong>by</strong> <strong>Drug</strong> Category <strong>and</strong> Gender (Oral Fluid <strong>and</strong>/or Blood) ............. 102Table 137. Prevalence <strong>of</strong> <strong>Drug</strong>s in Daytime <strong>and</strong> Nighttime <strong>Drivers</strong> (Oral Fluid)..................... 104Table 138. Prevalence <strong>of</strong> <strong>Drug</strong>s in All <strong>Drug</strong>-Tested Nighttime <strong>Drivers</strong> (Oral Fluid <strong>and</strong>/or Blood)............................................................................................................................................. 106Table 139. Prevalence <strong>of</strong> <strong>Drug</strong>s in Daytime <strong>and</strong> Nighttime <strong>Drivers</strong> (Oral Fluid)...................... 108Table 140. Prevalence <strong>of</strong> <strong>Drug</strong>s in All <strong>Drug</strong>-Tested Nighttime <strong>Drivers</strong> (Oral Fluid <strong>and</strong>/or Blood)............................................................................................................................................. 109Table 141. Nighttime: Blood Results <strong>and</strong> Agreement with Self-Reported <strong>by</strong> <strong>Drug</strong> Type (Blood)............................................................................................................................................. 123Table 142. Nighttime: Seat Belt Observation <strong>by</strong> <strong>Drug</strong> Prevalence (Blood)............................... 125Table 143. Nighttime: Seat Belt Observation <strong>by</strong> <strong>Drug</strong> Class (Percentages Calculated <strong>by</strong> Row)(Blood) ................................................................................................................................ 125Table 144. Nighttime: Seat Belt Observation <strong>by</strong> <strong>Drug</strong> Category (Blood).................................. 126x

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