Age Of Intoxication Research Articles

David A. Guba Jr. Taming Cannabis: Drugs and Empire in Nineteenth-Century France; Benjamin Breen. The Age of Intoxication: Origins of the Global Drug Trade.

Two exciting new books, David Guba Jr.’s Taming Cannabis: Drugs and Empire in Nineteenth-Century France and Benjamin Breen’s The Age of Intoxication: Origins of the Global Drug Trade, trace the rise of the globalized drug economy in Western Europe and its relationships to colonial empire (1600–1900), connecting Europe to the Americas, Africa, and India, and to the construction of drugs in European ­imaginaries. These cultural histories describe drugs as social ­constructs, embedded in specific Portuguese, Spanish, English, and French ideas of race, politics, law, colonial empire, and commerce. We discover ­cultural reasons why some pharmacodynamic plants have become lawful medications and others illegal drugs, and how European publics experienced the expansion and ­globalization of pharmacy from the early modern period to the present. A feast for the mind and a delight to the eye, Breen’s intellectually ambitious The Age of Intoxication takes the reader on a world tour of...

The Age of Intoxication: Origins of the Global Drug Trade by Benjamin Breen

<i>The Age of Intoxication: Origins of the Global Drug Trade</i> by Benjamin Breen

New Books across the Disciplines

New Books across the Disciplines

The Age of Intoxication: Origins of the Global Drug Trade

The Age of Intoxication: Origins of the Global Drug Trade

The Age of Intoxication: Origins of the Global Drug Trade by Benjamin Breen

The Age of Intoxication: Origins of the Global Drug Trade by Benjamin Breen

Age at drinking onset, age at first intoxication, and delay to first intoxication: Assessing the concurrent validity of measures of drinking initiation with alcohol use and related problems

IntroductionDrinking at an early age (AO) and quickly progressing to drinking to intoxication (Delay=Age of Intoxication[AI]-AO) confer risk for alcohol use and alcohol-related problems. However, inconsistencies exist in the literature, which may reflect the use of different definitions of AO and AI. We evaluated whether 1) defining AO as age at first sip of alcohol (AO sip) versus age at which at least one standard drink was consumed (AO drink); and 2) defining AI as age at first “drunk” (AI drunk) versus age at first binge episode (≥5 standard drinks consumed; AI binge) resulted in different self-reported ages or differentially predicted drinking outcomes. Methods248 high school students (53.6% male; 16.50[1.19] years; 71.4% White) completed anonymous surveys assessing alcohol use. ResultsParticipants reported a younger AO (sip) than AO (drink) and a younger AI (drunk) than AI (binge), resulting in significantly different Delay values for the four AO-AI pairings. Univariate general linear models indicated that AO-Delay pairings accounted for more variance in maximum drinks and alcohol-related problems than did the individual AO and AI variables. Pairings comprising AO (drink) and Delay (drink-binge) and AO (sip) and Delay (sip-binge), respectively, uniquely accounted for variance in both maximum drinks and problems. ConclusionsClearly defining AO and AI using objective definitions that reflect specific amounts of alcohol (e.g., first sip; first standard drink; first binge) appears to outperform subjective definitions of alcohol use (e.g., first drunk).