Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
PLoS One. 2020 Jan 29;15(1):e0227701. doi: 10.1371/journal.pone.0227701. eCollection 2020.
In the last decade, there has been a marked increase in opioid-related human deaths in the U.S. However, the effects of the growth in opioid use on vulnerable populations, such as pet dogs, are largely unknown. The objective of this study was to investigate potential risk factors at the dog, county, and state-levels that contributed to accidental dog opioid poisonings. Dog demographic information was collected during calls to the Animal Poison Control Center (APCC), operated by the American Society for the Prevention of Cruelty to Animals, about pet dog exposures to poisons from 2006-2014. Data concerning state-level opioid-related human death rates and county-level human opioid prescription rates were collected from databases accessed from the Centers for Disease Control and Prevention. A multilevel logistic regression model with random intercepts for county and state was fitted to explore associations between the odds of a call to the APCC being related to dog opioid poisonings with the following independent variables: sex, weight, age, reproductive status, breed class, year, source of calls, county-level human opioid prescription rate, and state-level opioid human death rate. There was a significant non-linear positive association between accidental opioid dog poisoning calls and county-level human opioid prescription rates. Similarly, the odds of a call being related to an opioid poisoning significantly declined over the study period. Depending on the breed class, the odds of a call being related to an opioid poisoning event were generally lower for older and heavier dogs. The odds of a call being related to an opioid poisoning were significantly higher for intact compared to neutered dogs, and if the call was made by a veterinarian compared to a member of the public. Veterinarians responding to poisonings may benefit from knowledge of trends in the use and abuse of both legal and illegal drugs in human populations.
在过去的十年中,美国与阿片类药物相关的人类死亡人数显著增加。然而,阿片类药物使用的增长对宠物狗等弱势群体的影响在很大程度上尚不清楚。本研究的目的是调查导致宠物狗意外阿片类药物中毒的犬、县和州各级潜在的危险因素。在 2006 年至 2014 年期间,美国防止虐待动物协会运营的动物毒物控制中心(APCC)接到宠物狗接触毒物的电话时,收集了有关狗的人口统计信息。从疾病预防控制中心访问的数据库中收集了有关州级阿片类相关人类死亡率和县级人类阿片类药物处方率的数据。采用具有县和州随机截距的多级逻辑回归模型,探讨了与 APCC 来电与犬类阿片类药物中毒相关的几率与以下独立变量之间的关联:性别、体重、年龄、生殖状态、品种类别、年份、来电来源、县级人类阿片类药物处方率和州级阿片类药物人类死亡率。意外阿片类药物中毒犬来电与县级人类阿片类药物处方率之间存在显著的非线性正相关关系。同样,在研究期间,来电与阿片类药物中毒相关的几率显著下降。根据品种类别,来电与阿片类药物中毒事件相关的几率通常较低的是年龄较大和体重较大的狗。与绝育犬相比,完整犬的来电与阿片类药物中毒相关的几率更高,与公众来电相比,兽医来电与阿片类药物中毒相关的几率更高。兽医在应对中毒时,可能受益于了解人类人群中合法和非法药物使用和滥用的趋势。