Results 181 to 190 of about 42,523 (291)
Pharmacological properties of buprenorphine, a new analgesic agent. Part II
S Shintani+11 more
openalex +2 more sources
Abstract Aims This study aimed to quantify the population‐level impact of a large‐scale opioid agonist treatment (OAT) program on suicide‐related mortality among people with opioid use disorder (OUD) in New South Wales (NSW), Australia. Design This is the first study to use dynamic mathematical modeling to explore the population‐level impact of OAT on ...
Thomas James Santo Jr+8 more
wiley +1 more source
Detoxification from heroin with buprenorphine [PDF]
Deb Gordon, Duncan Raistrick, Jo Banbery
openalex +1 more source
Medication experiences in the treatment of opioid use disorders: Insights from Reddit
Abstract Background and Aims Better understanding the challenges faced by patients on medications for opioid use disorder (MOUD), including methadone and buprenorphine, is critical to increasing their use/retention. Social media platforms such as Reddit offer a space for patients to share their experiences with medications.
Alexandra Almeida+5 more
wiley +1 more source
Transdermal fentanyl compared with parenteral buprenorphine in post-surgical pain in swine: a case study [PDF]
Chris Harvey-Clark+2 more
openalex +1 more source
Abstract Background and Aims The subjective experience of drug craving is characterized by an overwhelming urge to consume substances. Due to strong validity and ease of use, self‐report measures are widely employed to assess substance‐related motivational dynamics.
Matin Toulami+9 more
wiley +1 more source
Depressive symptoms during buprenorphine treatment of opioid abusers
Thomas R. Kosten+2 more
openalex +1 more source
Buprenorphine and carbamazepine as a treatment for detoxification of opiate addicts with multiple drug misuse: a pilot study [PDF]
Udo Schneider+6 more
openalex +1 more source
Heroin is an opioid that commonly appears as white or brown powder. Eventually a person can become physically dependent on heroin, meaning the body begins to expect the drug.
Drew, Margaret M.
core
Abstract Aims To develop machine‐learning algorithms for predicting the risk of a hospitalization or emergency department (ED) visit for opioid use disorder (OUD) (i.e. OUD acute events) in Pennsylvania Medicaid enrollees in the Opioid Use Disorder Centers of Excellence (COE) program and to evaluate the fairness of model performance across racial ...
Lingshu Xue+6 more
wiley +1 more source