AIMC Topic: Opioid-Related Disorders

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Multiobjective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex.

Journal of medicinal chemistry Aug 25, 2023
Opioid use disorder (OUD) has emerged as a significant global public health issue, necessitating the discovery of new medications. In this study, we propose a deep generative model that combines a stochastic differential equation (SDE)-based diffusio...
Diffusion Opioid-Related Disorders Machine Learning Humans Receptors, Opioid
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De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework.

Journal of chemical information and modeling Aug 9, 2023
Likely effective pharmacological interventions for the treatment of opioid addiction include attempts to attenuate brain reward deficits during periods of abstinence. Pharmacological blockade of the κ-opioid receptor (KOR) has been shown to abolish b...
Animals Opioid-Related Disorders Narcotic Antagonists Receptors, Opioid, kappa Deep Learning Rats Analgesics, Opioid
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A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.

International journal of medical informatics Dec 31, 2022
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...
Deep Learning United States Analgesics, Opioid Humans Machine Learning Electronic Health Records Prescriptions Opioid-Related Disorders Practice Patterns, Physicians'
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Using natural language processing to identify opioid use disorder in electronic health record data.

International journal of medical informatics Dec 10, 2022
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disorder (OUD) and its adverse outcomes. Accurate and complete epidemiologic surveillance of OUD, to inform prevention strategies, presents challenges. The ...
Electronic Health Records Natural Language Processing Analgesics, Opioid Opioid-Related Disorders Humans Algorithms
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Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.

Frontiers in public health May 9, 2022
BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD and s...
Patient Discharge Analgesics, Opioid Opioid-Related Disorders Pilot Projects Natural Language Processing Humans Hospitals
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The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

Journal of psychoactive drugs Mar 15, 2022
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview with GPT-users about DSM-IV-dependence-criteria (sedatives), consume-motives and cessation-needs. Among...
Analgesics, Opioid Female Opioid-Related Disorders Young Adult Adolescent Remission, Spontaneous Middle Aged Adult Hypnotics and Sedatives Gabapentin Pilot Projects Inpatients Humans Pregabalin
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Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns.

JAMA health forum Oct 29, 2021
IMPORTANCE: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C virus (HCV) infections, a known complication of opioid use, grew in parallel with opioid-related complications; however, the literature informing individ...
Cross-Sectional Studies United States Pregnancy Female Infant, Newborn Analgesics, Opioid Hepacivirus Hepatitis C Opioid-Related Disorders Humans Retrospective Studies
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How prevalent and severe is addiction on GABAmimetic drugs in an elderly German general hospital population? Focus on gabapentinoids, benzodiazepines, and z-hypnotic drugs.

Human psychopharmacology Oct 23, 2021
OBJECTIVE: Gabapentinoids (GPT) are reported to be increasingly misused by opioid- and polydrug-users, but the addictive potential of GPT outside of these populations remains understudied. Investigations comparing GPT abuse and dependence liability t...
Hypnotics and Sedatives Aged Analgesics, Opioid Aged, 80 and over Benzodiazepines Humans Opioid-Related Disorders Male Female Hospitals, General
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Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Opioid use disorder (OUD) represents a global public health crisis that challenges classic clinical decision making. As existing hospital screening methods are resource-intensive, patients with OUD are significantly under-detected. An automated and a...
Machine Learning Algorithms Clinical Decision-Making Humans Natural Language Processing Opioid-Related Disorders
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Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach.

Journal of medical Internet research Nov 27, 2020
BACKGROUND: In recent years, both suicide and overdose rates have been increasing. Many individuals who struggle with opioid use disorder are prone to suicidal ideation; this may often result in overdose. However, these fatal overdoses are difficult ...
Natural Language Processing Opioid-Related Disorders Internet Use Male Suicide Social Media Humans Machine Learning Female
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