In the United Kingdom, the Met Office issues regionally calibrated impact-based weather warnings. These aim to reduce harm to people and property. To decrease risk from severe weather, it is important to understand how members of the U.K. public interpret and act on these warnings. This paper addresses this through a postevent survey (n = 552) conducted following Storm Doris, a 2017 winter storm during which wind warnings were issued across much of the United Kingdom. Survey questions examined 1) understanding of impact-based wind warnings, 2) interpretation of local warning level, 3) predictors of perceived local risk (likelihood, impact severity, concern) implied by warnings, 4) predictors of trust in the forecast, and 5) predictors of recalled and anticipated action. Our findings indicate that U.K. residents generally understand that weather warnings are based on potential weather impacts, although many do not realize warnings are regionally calibrated. We also find that while local warning levels are rarely underestimated, they may sometimes be overestimated. Institutional trust in the Met Office and perceived vulnerability to weather predict both perceived risk and behavioral response, while warning “understandability” is linked to greater trust in the forecast. Strikingly, while differences in local warning levels influenced risk perception, they did not affect recalled or intended behavioral response. This study highlights the importance of institutional trust in the effective communication of severe weather warnings, and a need for education on impact-based weather warnings. Above all, it demonstrates the need for further exploration of the effect of weather warnings on protective behavior.

The urine samples from two groups of Veteran's Administration patients newly admitted to general psychiatry units were screened in 1985 and in 1987-88 for abused drugs. The results were compared with urine samples from controls with similar age distributions admitted to an alcohol and drug abuse unit or to medical-surgical units. About 40% of all newly admitted patients were positive for one or more controlled drugs, but there were no significant differences among patient groups in the percentage of urine samples positive for these drugs. Marijuana and benzodiazepines were detected frequently in all patient groups and often in combination, although opiates also were frequently detected in the urine samples from the medical-surgical patients. There was a clear decrease in drug-positive samples with age in all patient groups, much of which could be accounted for by decreased marijuana detection.