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本文引用的文献

1
Cocaine use and overdose mortality in the United States: Evidence from two national data sources, 2002-2018.美国可卡因使用和过量用药死亡情况:来自两个国家数据源的证据,2002-2018 年。
Drug Alcohol Depend. 2020 Sep 1;214:108148. doi: 10.1016/j.drugalcdep.2020.108148. Epub 2020 Jul 15.
2
Predictive Modeling of Opioid Overdose Using Linked Statewide Medical and Criminal Justice Data.利用全州范围的医疗和刑事司法数据进行阿片类药物过量预测建模。
JAMA Psychiatry. 2020 Nov 1;77(11):1155-1162. doi: 10.1001/jamapsychiatry.2020.1689.
3
Using the tools of genetic epidemiology to understand sex differences in neuropsychiatric disorders.利用遗传流行病学工具了解神经精神障碍中的性别差异。
Genes Brain Behav. 2020 Jul;19(6):e12660. doi: 10.1111/gbb.12660. Epub 2020 Jun 22.
4
Statistical methods for composite endpoints.用于复合终点的统计方法。
EuroIntervention. 2021 Apr 2;16(18):e1484-e1495. doi: 10.4244/EIJ-D-19-00953.
5
Diagnosis and Treatment of Opioid Use Disorder in 2020.2020年阿片类物质使用障碍的诊断与治疗
JAMA. 2020 May 26;323(20):2082-2083. doi: 10.1001/jama.2020.4104.
6
Is the Gender Gap in Overdose Deaths (Still) Decreasing? An Examination of Opioid Deaths in Delaware, 2013-2017.是否(仍)在缩小阿片类药物过量死亡的性别差距?对 2013-2017 年特拉华州阿片类药物死亡情况的考察。
J Stud Alcohol Drugs. 2020 Jan;81(1):68-73. doi: 10.15288/jsad.2020.81.68.
7
Escalation of drug use in persons dually diagnosed with opioid and cocaine dependence: Gender comparison and dimensional predictors.阿片类药物和可卡因依赖双重诊断患者药物使用升级:性别比较和维度预测因子。
Drug Alcohol Depend. 2019 Dec 1;205:107657. doi: 10.1016/j.drugalcdep.2019.107657. Epub 2019 Oct 22.
8
Changes in Opioid-Involved Overdose Deaths by Opioid Type and Presence of Benzodiazepines, Cocaine, and Methamphetamine - 25 States, July-December 2017 to January-June 2018.阿片类药物滥用相关过量死亡的变化,按阿片类药物类型以及苯二氮䓬类药物、可卡因和冰毒的存在情况划分-25 个州,2017 年 7 月至 12 月至 2018 年 1 月至 6 月。
MMWR Morb Mortal Wkly Rep. 2019 Aug 30;68(34):737-744. doi: 10.15585/mmwr.mm6834a2.
9
Are trait impulsivity and exposure to cannabis or alcohol associated with the age of trajectory of cocaine use? A gender-specific dimensional analysis in humans with cocaine dependence diagnosis.特质冲动性和接触大麻或酒精是否与可卡因使用轨迹的年龄有关?可卡因依赖诊断人类中基于性别的维度分析。
Exp Clin Psychopharmacol. 2020 Jun;28(3):317-327. doi: 10.1037/pha0000314. Epub 2019 Aug 19.
10
Experimental design and analysis for consideration of sex as a biological variable.将性别作为生物学变量考虑的实验设计与分析
Neuropsychopharmacology. 2019 Dec;44(13):2159-2162. doi: 10.1038/s41386-019-0458-9. Epub 2019 Jul 5.

海洛因和可卡因滥用者双重成瘾诊断中二者滥用升级的双向影响。

Bidirectional influence of heroin and cocaine escalation in persons with dual opioid and cocaine dependence diagnoses.

机构信息

Rockefeller University.

出版信息

Exp Clin Psychopharmacol. 2022 Feb;30(1):31-38. doi: 10.1037/pha0000401. Epub 2020 Oct 29.

DOI:10.1037/pha0000401
PMID:33119382
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8388238/
Abstract

Persons with dual severe opioid and cocaine use disorders are at risk of considerable morbidity, and the bidirectional relationship of escalation of mu-opioid agonists and cocaine use is not well understood. The aim of this study was to examine the bidirectional relationship between escalation of heroin and cocaine use in volunteers dually diagnosed with opioid and cocaine dependence (OD + CD). Volunteers from New York with OD + CD (total = 295; male = 182, female = 113; age ≥ 18 years) were interviewed with the Structured Clinical Interview for the Axis I Disorders and Kreek-McHugh-Schluger-Kellogg scales for dimensional measures of drug exposure, which also collect ages of 1st use and onset of heaviest use. Time of escalation was defined as age of onset of heaviest use minus age of 1st use in whole years. Times of escalation of heroin and cocaine were positively correlated in both men (Spearman = .34, 95% confidence interval [CI: .17, .48], < .0001) and women (Spearman = .51, [.27, .50], < .0001) volunteers. After we adjusted for demographic variables, a Cox regression showed that time of cocaine escalation was a predictor of time of heroin escalation (hazard ratio [HR] = 0.97, 95% CI [0.95, 0.99], = .003). Another Cox regression showed that this relationship is bidirectional, because time of heroin escalation was also a predictor of time of cocaine escalation (HR = 0.98, [0.96-0.99], = .016). In these adjusted models, gender was not a significant predictor of time of escalation of either heroin or cocaine. Therefore, escalation did not differ robustly by gender when adjusting for demographics and other major variables. Overall, rapid escalation of cocaine use was a predictor of rapid escalation of heroin use, and vice versa, in persons with dual severe opioid and cocaine use disorders. These findings suggest a shared vulnerability to rapid escalation of these 2 drugs in persons with dual severe opioid and cocaine use disorders. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

具有双重严重阿片类药物和可卡因使用障碍的人有相当大的发病风险,而μ-阿片激动剂和可卡因使用的双向关系尚不清楚。本研究的目的是检查双重诊断为阿片类药物和可卡因依赖(OD + CD)的志愿者中海洛因和可卡因使用升级之间的双向关系。来自纽约的 OD + CD 志愿者(共 295 名;男性 182 名,女性 113 名;年龄≥18 岁)接受了轴 I 障碍的结构临床访谈和 Kreek-McHugh-Schluger-Kellogg 量表的维度药物暴露访谈,该量表还收集了首次使用年龄和最重使用年龄。升级时间定义为最重使用年龄减去首次使用年龄的整年。男性(Spearman =.34,95%置信区间 [CI:.17,.48], <.0001)和女性(Spearman =.51,[.27,.50], <.0001)志愿者的海洛因和可卡因升级时间呈正相关。在调整人口统计学变量后,Cox 回归显示可卡因升级时间是海洛因升级时间的预测因子(危险比 [HR] = 0.97,95%CI [0.95,0.99], =.003)。另一个 Cox 回归显示,这种关系是双向的,因为海洛因升级时间也是可卡因升级时间的预测因子(HR = 0.98,[0.96-0.99], =.016)。在这些调整后的模型中,性别不是海洛因或可卡因升级时间的重要预测因子。因此,在调整人口统计学和其他主要变量后,性别并没有显著预测阿片类药物和可卡因双重严重使用障碍患者的升级速度。总之,可卡因使用的快速升级是海洛因使用快速升级的预测因子,反之亦然,这表明双重严重阿片类药物和可卡因使用障碍患者对这两种药物的快速升级具有共同的脆弱性。(PsycInfo 数据库记录(c)2022 APA,保留所有权利)。