妊娠期过量用药风险概况:阿片类药物使用障碍孕妇的潜在分类分析。

IF 1.9 0 PSYCHOLOGY, CLINICAL
Elysha Cash, Gerald Cochran, Marcela C Smid, Jasmin E Charles, Grace Humiston, Yingjia Wei, Nicole Mauerman, Kristi Carlston, Grace Broussard, Britnee Sengpraseut, Peter R Martin, T John Winhusen
{"title":"妊娠期过量用药风险概况:阿片类药物使用障碍孕妇的潜在分类分析。","authors":"Elysha Cash, Gerald Cochran, Marcela C Smid, Jasmin E Charles, Grace Humiston, Yingjia Wei, Nicole Mauerman, Kristi Carlston, Grace Broussard, Britnee Sengpraseut, Peter R Martin, T John Winhusen","doi":"10.1016/j.josat.2025.209809","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Given the continued rise in opioid exposed pregnancies and overdose during the postnatal period, it is critical to identify risk characteristics among this population to enable clinicians to better tailor interventions. This exploratory study sought to develop a deeper understanding of overdose risk characteristics among pregnant people with opioid use disorder and which characteristics may contribute to differing risk profiles.</p><p><strong>Methods: </strong>Design and participants. This exploratory secondary analysis utilized baseline data from a large-scale national multi-site randomized controlled trial that compared two buprenorphine formulations among treatment seeking pregnant individuals with opioid use disorder.</p><p><strong>Assessments: </strong>For risk group identification, the Personal Opioid-Overdose Risk Survey was used. Trauma history experience was assessed using the Trauma History Screen and substance use history was captured using the DSM-5 Checklist and Treatment Services Review V6.</p><p><strong>Analyses: </strong>Latent class analysis identified unique subgroups of participants based on overdose risk factors. Latent class group membership was associated with trauma history and substance use characteristics using logistic and stepwise logistic regression.</p><p><strong>Results: </strong>Three distinct classes of overdose risk emerged: the tolerance and polysubstance/alcohol use (HIGH-ALC) class (n = 14, 10 %), synthetic opioid and polysubstance use (LOW-ALC/FENT) class (n = 65, 46.4 %), and the low risk (LOW-RISK) class (n = 61, 43.6 %). The HIGH-ALC class reported the most (non-opioid) substance use in the last 12 months with 6 times higher odds of marijuana use (95 % CI, 1.01-35.67) and 17.48 times higher odds of cocaine use (95 % CI, 3.45-88.48) compared to the LOW-RISK class. The LOW-ALC/FENT class (n = 65, 46.4 %) had the highest reports of childhood physical abuse, greater odds of experiencing intimate partner violence regarding recovery (OR = 4.82, 95 % CI = 1.90-12.26), and greater odds of a threat to safe living (OR = 3.35, 95 % CI = 0.72-15.66). The LOW-RISK class (n = 61, 43.6 %) had the lowest reports of polysubstance use in the last 12 months and the least reports of both childhood sexual trauma and adulthood sexual trauma.</p><p><strong>Conclusions: </strong>Through better understanding distinct patient overdose risk profiles, healthcare providers can deliver more targeted prevention interventions to address individual needs and improve maternal outcomes.</p><p><strong>Trial registration: </strong>NCT03918850.</p>","PeriodicalId":73960,"journal":{"name":"Journal of substance use and addiction treatment","volume":" ","pages":"209809"},"PeriodicalIF":1.9000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Overdose risk profiles in pregnancy: Latent class analysis of pregnant individuals with opioid use disorder.\",\"authors\":\"Elysha Cash, Gerald Cochran, Marcela C Smid, Jasmin E Charles, Grace Humiston, Yingjia Wei, Nicole Mauerman, Kristi Carlston, Grace Broussard, Britnee Sengpraseut, Peter R Martin, T John Winhusen\",\"doi\":\"10.1016/j.josat.2025.209809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Given the continued rise in opioid exposed pregnancies and overdose during the postnatal period, it is critical to identify risk characteristics among this population to enable clinicians to better tailor interventions. This exploratory study sought to develop a deeper understanding of overdose risk characteristics among pregnant people with opioid use disorder and which characteristics may contribute to differing risk profiles.</p><p><strong>Methods: </strong>Design and participants. This exploratory secondary analysis utilized baseline data from a large-scale national multi-site randomized controlled trial that compared two buprenorphine formulations among treatment seeking pregnant individuals with opioid use disorder.</p><p><strong>Assessments: </strong>For risk group identification, the Personal Opioid-Overdose Risk Survey was used. Trauma history experience was assessed using the Trauma History Screen and substance use history was captured using the DSM-5 Checklist and Treatment Services Review V6.</p><p><strong>Analyses: </strong>Latent class analysis identified unique subgroups of participants based on overdose risk factors. Latent class group membership was associated with trauma history and substance use characteristics using logistic and stepwise logistic regression.</p><p><strong>Results: </strong>Three distinct classes of overdose risk emerged: the tolerance and polysubstance/alcohol use (HIGH-ALC) class (n = 14, 10 %), synthetic opioid and polysubstance use (LOW-ALC/FENT) class (n = 65, 46.4 %), and the low risk (LOW-RISK) class (n = 61, 43.6 %). The HIGH-ALC class reported the most (non-opioid) substance use in the last 12 months with 6 times higher odds of marijuana use (95 % CI, 1.01-35.67) and 17.48 times higher odds of cocaine use (95 % CI, 3.45-88.48) compared to the LOW-RISK class. The LOW-ALC/FENT class (n = 65, 46.4 %) had the highest reports of childhood physical abuse, greater odds of experiencing intimate partner violence regarding recovery (OR = 4.82, 95 % CI = 1.90-12.26), and greater odds of a threat to safe living (OR = 3.35, 95 % CI = 0.72-15.66). The LOW-RISK class (n = 61, 43.6 %) had the lowest reports of polysubstance use in the last 12 months and the least reports of both childhood sexual trauma and adulthood sexual trauma.</p><p><strong>Conclusions: </strong>Through better understanding distinct patient overdose risk profiles, healthcare providers can deliver more targeted prevention interventions to address individual needs and improve maternal outcomes.</p><p><strong>Trial registration: </strong>NCT03918850.</p>\",\"PeriodicalId\":73960,\"journal\":{\"name\":\"Journal of substance use and addiction treatment\",\"volume\":\" \",\"pages\":\"209809\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of substance use and addiction treatment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.josat.2025.209809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of substance use and addiction treatment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.josat.2025.209809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0

摘要

导言:鉴于阿片类药物暴露妊娠和产后用药过量的持续上升,确定这一人群的风险特征,使临床医生能够更好地定制干预措施至关重要。本探索性研究旨在深入了解阿片类药物使用障碍孕妇的过量风险特征,以及哪些特征可能导致不同的风险概况。方法:设计与参与者。这项探索性的二次分析利用了一项大规模国家多地点随机对照试验的基线数据,该试验比较了寻求阿片类药物使用障碍孕妇治疗的两种丁丙诺啡配方。评估:对于风险群体的识别,使用了个人阿片类药物过量风险调查。使用创伤史筛查评估创伤史经验,使用DSM-5检查表和治疗服务评估V6获取物质使用史。分析:潜在分类分析确定了基于过量危险因素的参与者的独特亚组。使用逻辑回归和逐步逻辑回归,潜在类别群体成员与创伤史和物质使用特征相关。结果:出现了三个不同的过量风险类别:耐受性和多物质/酒精使用(高alc)类别(n = 14,10 %),合成阿片类药物和多物质使用(低alc /FENT)类别(n = 65, 46.4%)和低风险(低风险)类别(n = 61, 43.6%)。在过去的12个月中,高alc组报告了最多的(非阿片类)物质使用,大麻使用的几率是低风险组的6倍(95% CI, 1.01-35.67),可卡因使用的几率是低风险组的17.48倍(95% CI, 3.45-88.48)。LOW-ALC/FENT组(n = 65, 46.4%)有最高的儿童身体虐待报告,在康复过程中经历亲密伴侣暴力的几率更大(OR = 4.82, 95% CI = 1.90-12.26),对安全生活的威胁几率更大(OR = 3.35, 95% CI = 0.72-15.66)。低风险组(n = 61, 43.6%)在过去12个月内使用多种药物的报告最少,儿童期和成人期性创伤的报告最少。结论:通过更好地了解不同的患者用药过量风险概况,医疗保健提供者可以提供更有针对性的预防干预措施,以满足个人需求并改善产妇结局。试验注册:NCT03918850。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overdose risk profiles in pregnancy: Latent class analysis of pregnant individuals with opioid use disorder.

Introduction: Given the continued rise in opioid exposed pregnancies and overdose during the postnatal period, it is critical to identify risk characteristics among this population to enable clinicians to better tailor interventions. This exploratory study sought to develop a deeper understanding of overdose risk characteristics among pregnant people with opioid use disorder and which characteristics may contribute to differing risk profiles.

Methods: Design and participants. This exploratory secondary analysis utilized baseline data from a large-scale national multi-site randomized controlled trial that compared two buprenorphine formulations among treatment seeking pregnant individuals with opioid use disorder.

Assessments: For risk group identification, the Personal Opioid-Overdose Risk Survey was used. Trauma history experience was assessed using the Trauma History Screen and substance use history was captured using the DSM-5 Checklist and Treatment Services Review V6.

Analyses: Latent class analysis identified unique subgroups of participants based on overdose risk factors. Latent class group membership was associated with trauma history and substance use characteristics using logistic and stepwise logistic regression.

Results: Three distinct classes of overdose risk emerged: the tolerance and polysubstance/alcohol use (HIGH-ALC) class (n = 14, 10 %), synthetic opioid and polysubstance use (LOW-ALC/FENT) class (n = 65, 46.4 %), and the low risk (LOW-RISK) class (n = 61, 43.6 %). The HIGH-ALC class reported the most (non-opioid) substance use in the last 12 months with 6 times higher odds of marijuana use (95 % CI, 1.01-35.67) and 17.48 times higher odds of cocaine use (95 % CI, 3.45-88.48) compared to the LOW-RISK class. The LOW-ALC/FENT class (n = 65, 46.4 %) had the highest reports of childhood physical abuse, greater odds of experiencing intimate partner violence regarding recovery (OR = 4.82, 95 % CI = 1.90-12.26), and greater odds of a threat to safe living (OR = 3.35, 95 % CI = 0.72-15.66). The LOW-RISK class (n = 61, 43.6 %) had the lowest reports of polysubstance use in the last 12 months and the least reports of both childhood sexual trauma and adulthood sexual trauma.

Conclusions: Through better understanding distinct patient overdose risk profiles, healthcare providers can deliver more targeted prevention interventions to address individual needs and improve maternal outcomes.

Trial registration: NCT03918850.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of substance use and addiction treatment
Journal of substance use and addiction treatment Biological Psychiatry, Neuroscience (General), Psychiatry and Mental Health, Psychology (General)
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信