Results 161 to 170 of about 121,985 (386)

Negative Direct Coombs’ Tests in Narcotic Addicts Receiving Maintenance Doses of Methadone [PDF]

, 1972
Geoffrey K. Sherwood, Mary H. McGinniss, Richard N. Katon, Robert L. DuPont, Joseph B. Webster   +4 more
openalex   +1 more source

Job Satisfaction Among Methadone Maintenance Treatment Clinic Service Providers in Jiangsu, China: A Cross-sectional Survey. [PDF]

, 2020
ObjectiveService providers' job satisfaction is critical to the stability of the work force and thereby the effectiveness of methadone maintenance treatment (MMT) programs.
Cao, Xiaobin, Chen, Guohong, Chen, Yuheng, Huan, Xiping, Li, Li, Lin, Chunqing, Liu, Xiaoyan, Luo, Sitong, McGoogan, Jennifer M, Wu, Zunyou   +9 more
core  

High BMI is a specific risk factor for drug‐related mortality in patients receiving methadone: A case control study

Addiction, EarlyView.
Abstract Background and Aims Long‐term treatment of opioid dependence with the opioid agonist therapy (OAT) methadone can lead to significant weight gain. This study investigated whether OAT patients with a body mass index (BMI) deemed overweight (≥25) are at increased risk of mortality.
Thikra Algahtani, Tom Le Ruez, John Strang, David Morgan, Martin Smith, Caroline S. Copeland   +5 more
wiley   +1 more source

Retrospective analysis reveals significant association of hypoglycemia with tramadol and methadone in contrast to other opioids. [PDF]

, 2019
Tramadol is one of the most commonly used analgesics worldwide, classified as having a low abuse potential by U.S. Drug Enforcement Agency, and often recommended in pain management guidelines.
Abagyan, Ruben, Atayee, Rabia S, Makunts, Tigran, U, Andrew   +3 more
core   +1 more source

Quantifying the impact of a large‐scale opioid agonist treatment program on suicide prevention in New South Wales, Australia: A data‐modeling study

Addiction, EarlyView.
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, Antoine Chaillon, Natasha Martin, Matthew Hickman, Nicola Jones, Michael Farrell, Chrianna Bharat, Louisa Degenhardt, Annick Borquez   +8 more
wiley   +1 more source

Rural mistrust of public health interventions in the United States: A call for taking the long view to improve adoption

, 2023
The Journal of Rural Health, Volume 39, Issue 1, Page 18-20, Winter 2023.
Jamey J. Lister, Paul J. Joudrey
wiley   +1 more source

Effects of oral methadone consumption on visual discrimination performance of the rhesus monkey [PDF]

, 1974
Kristin R. Carlson, Marianna Pavsek
openalex   +1 more source

Prenatal exposure to methadone or buprenorphine: Early childhood developmental outcomes. [PDF]

, 2018
BACKGROUND: Methadone and buprenorphine are recommended to treat opioid use disorders during pregnancy. However, the literature on the relationship between longer-term effects of prenatal exposure to these medications and childhood development is both ...
Coyle, Mara G., Fischer, Gabriele, Heil, Sarah H., Jones, Hendrée E., Kaltenbach, Karol, Martin, Peter R., O\u27Grady, Kevin E, Salisbury, Amy L., Stine, Susan   +8 more
core   +1 more source

Medication experiences in the treatment of opioid use disorders: Insights from Reddit

Addiction, EarlyView.
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, Mike Conway, David J. Grelotti, Amarnath Gupta, David Frank, Annick Bórquez   +5 more
wiley   +1 more source

Development and evaluation of a machine learning model to predict acute care for opioid use disorder among Medicaid enrollees engaged in a community‐based treatment program

Addiction, EarlyView.
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, Ruofei Yin, Evan S. Cole, Wei‐Hsuan Lo‐Ciganic, Walid F. Gellad, Julie Donohue, Lu Tang   +6 more
wiley   +1 more source