• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Tailored Therapies in Addiction Medicine: Redefining Opioid Use Disorder Treatment with Precision Medicine.成瘾医学中的个性化疗法:用精准医学重新定义阿片类物质使用障碍的治疗
J Pers Med. 2025 Jul 24;15(8):328. doi: 10.3390/jpm15080328.
2
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
3
Sexual Harassment and Prevention Training性骚扰与预防培训
4
Patient Restraint and Seclusion患者约束与隔离
5
Healthcare workers' informal uses of mobile phones and other mobile devices to support their work: a qualitative evidence synthesis.医护人员非正规使用手机和其他移动设备来支持工作:定性证据综合评价。
Cochrane Database Syst Rev. 2024 Aug 27;8(8):CD015705. doi: 10.1002/14651858.CD015705.pub2.
6
Pain Assessment疼痛评估
7
The Black Book of Psychotropic Dosing and Monitoring.《精神药物剂量与监测黑皮书》
Psychopharmacol Bull. 2024 Jul 8;54(3):8-59.
8
Meeting the needs of women in the perinatal period, who use or are in treatment for using drugs: A mixed-methods systematic review.满足围产期使用毒品或正在接受戒毒治疗的妇女的需求:一项混合方法的系统评价。
Health Soc Care Deliv Res. 2025 Aug 20:1-25. doi: 10.3310/GJPR0321.
9
Psychological therapies for post-traumatic stress disorder and comorbid substance use disorder.创伤后应激障碍及共病物质使用障碍的心理治疗
Cochrane Database Syst Rev. 2016 Apr 4;4(4):CD010204. doi: 10.1002/14651858.CD010204.pub2.
10
Buprenorphine for managing opioid withdrawal.丁丙诺啡用于管理阿片类药物戒断。
Cochrane Database Syst Rev. 2017 Feb 21;2(2):CD002025. doi: 10.1002/14651858.CD002025.pub5.

本文引用的文献

1
Artificial Intelligence-driven and technological innovations in the diagnosis and management of substance use disorders.人工智能驱动的物质使用障碍诊断与管理技术创新。
Int Rev Psychiatry. 2025 Feb;37(1):52-58. doi: 10.1080/09540261.2024.2432369. Epub 2024 Dec 2.
2
Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder.一种用于预测阿片类物质使用障碍遗传风险的算法中候选基因的效用。
JAMA Netw Open. 2025 Jan 2;8(1):e2453913. doi: 10.1001/jamanetworkopen.2024.53913.
3
Artificial Intelligence in Addiction: Challenges and Opportunities.成瘾领域中的人工智能:挑战与机遇
Indian J Psychol Med. 2024 Aug 31:02537176241274148. doi: 10.1177/02537176241274148.
4
Management of opioid use disorder: 2024 update to the national clinical practice guideline.阿片类药物使用障碍管理:国家临床实践指南 2024 年更新。
CMAJ. 2024 Nov 11;196(38):E1280-E1290. doi: 10.1503/cmaj.241173.
5
Factors predicting access to medications for opioid use disorder for housed and unhoused patients: A machine learning approach.预测有房和无房患者获得阿片类药物使用障碍治疗药物的因素:一种机器学习方法。
PLoS One. 2024 Sep 27;19(9):e0308791. doi: 10.1371/journal.pone.0308791. eCollection 2024.
6
Factors Associated With the Availability of Medications for Opioid Use Disorder in US Jails.与美国监狱中阿片类药物使用障碍药物供应相关的因素。
JAMA Netw Open. 2024 Sep 3;7(9):e2434704. doi: 10.1001/jamanetworkopen.2024.34704.
7
Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine.用于个性化疼痛医学的人工智能引导的传感器与设备
Cyborg Bionic Syst. 2024 Sep 13;5:0160. doi: 10.34133/cbsystems.0160. eCollection 2024.
8
Clinical Pharmacogenetics Implementation Consortium Guideline for CYP2B6 Genotype and Methadone Therapy.临床药物遗传学实施联盟 CYP2B6 基因型和美沙酮治疗指南。
Clin Pharmacol Ther. 2024 Oct;116(4):932-938. doi: 10.1002/cpt.3338. Epub 2024 Jun 11.
9
Opioid use, prescribing and fatal overdose patterns among racial/ethnic minorities in the United States: A scoping review and conceptual risk environment model.美国少数族裔的阿片类药物使用、处方和致命过量模式:范围审查和概念风险环境模型。
Drug Alcohol Rev. 2024 Jul;43(5):1143-1159. doi: 10.1111/dar.13832. Epub 2024 Apr 22.
10
The dopamine 3 receptor as a candidate biomarker and therapeutic for opioid use disorder.多巴胺 D3 受体作为阿片类药物使用障碍的候选生物标志物和治疗靶点。
Addict Biol. 2024 Feb;29(2):e13369. doi: 10.1111/adb.13369.

成瘾医学中的个性化疗法:用精准医学重新定义阿片类物质使用障碍的治疗

Tailored Therapies in Addiction Medicine: Redefining Opioid Use Disorder Treatment with Precision Medicine.

作者信息

Alag Poorvanshi, Szafoni Sandra, Ji Michael Xincheng, Macionga Agata Aleksandra, Nazir Saad, Więckiewicz Gniewko

机构信息

Department of Psychiatry, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.

Department of Psychiatry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-808 Zabrze, Poland.

出版信息

J Pers Med. 2025 Jul 24;15(8):328. doi: 10.3390/jpm15080328.

DOI:10.3390/jpm15080328
PMID:40863390
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12387481/
Abstract

Opioid use disorder (OUD) is a chronic disease that remains difficult to treat, even with significant improvements in available medications. While current treatments work well for some, they often do not account for the unique needs of individual patients, leading to less-than-ideal results. Precision medicine offers a new path forward by tailoring treatments to fit each person's genetic, psychological, and social needs. This review takes a close look at medications for OUD, including methadone, buprenorphine, and naltrexone, as well as long-acting options that may improve adherence and convenience. Beyond medications, the review highlights the importance of addressing mental health co-morbidities, trauma histories, and social factors like housing or support systems to create personalized care plans. The review also explores how emerging technologies, including artificial intelligence and digital health tools, can enhance how care is delivered. By identifying research gaps and challenges in implementing precision medicine into practice, this review emphasizes the potential to transform OUD treatment. A more individualized approach could improve outcomes, reduce relapse, and establish a new standard of care focused on recovery and patient well-being.

摘要

阿片类物质使用障碍(OUD)是一种慢性疾病,即便现有药物有了显著改进,其治疗仍颇具难度。虽然当前的治疗方法对部分患者效果良好,但往往无法顾及个体患者的独特需求,导致治疗效果不尽如人意。精准医学通过量身定制治疗方案以契合每个人的基因、心理和社会需求,为治疗带来了新的途径。本综述深入探讨了用于治疗OUD的药物,包括美沙酮、丁丙诺啡和纳曲酮,以及可能提高依从性和便利性的长效药物。除药物外,综述强调了应对心理健康共病、创伤史以及住房或支持系统等社会因素以制定个性化护理计划的重要性。综述还探讨了包括人工智能和数字健康工具在内的新兴技术如何能够提升护理的提供方式。通过识别在将精准医学应用于实践过程中的研究差距和挑战,本综述强调了变革OUD治疗的潜力。一种更加个性化的方法有望改善治疗效果、减少复发,并建立以康复和患者福祉为重点的新护理标准。