AIMC Topic: Opioid-Related Disorders
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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...
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...
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...
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...
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 ...
Artificial intelligence interventions focused on opioid use disorders: A review of the gray literature.
The American journal of drug and alcohol abuse
Oct 2, 2020
BACKGROUND: With the artificial intelligence (AI) paradigm shift comes momentum toward the development and scale-up of novel AI interventions to aid in opioid use disorder (OUD) care, in the identification of overdose risk, and in the reversal of ove...
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study.
PloS one
Jul 17, 2020
OBJECTIVE: To develop and validate a machine-learning algorithm to improve prediction of incident OUD diagnosis among Medicare beneficiaries with ≥1 opioid prescriptions.
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.
BMC medical informatics and decision making
Apr 29, 2020
BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at e...
Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Opioid addiction in the United States has come to national attention as opioid overdose (OD) related deaths have risen at alarming rates. Combating opioid epidemic becomes a high priority for not only governments but also healthcare providers. This d...
Understanding Opioid Use Disorder (OUD) using tree-based classifiers.
Drug and alcohol dependence
Jan 15, 2020
BACKGROUND: Opioid Use Disorder (OUD), defined as a physical or psychological reliance on opioids, is a public health epidemic. Identifying adults likely to develop OUD can help public health officials in planning effective intervention strategies. T...
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