Increased caseloads in methadone treatment programs: Implications for the delivery of services and retention in treatment

2004 ◽  
Vol 27 (4) ◽  
pp. 301-306 ◽  
Author(s):  
Duncan Stewart ◽  
Michael Gossop ◽  
John Marsden
Keyword(s):  
Methadone Treatment ◽  
Treatment Programs ◽  
Delivery Of Services ◽  
Retention In Treatment

scholarly journals Perpetration of Intimate Partner Violence Among Men in Methadone Treatment Programs in New York City

2007 ◽  
Vol 97 (7) ◽  
pp. 1230-1232 ◽  
Author(s):  
Nabila El-Bassel ◽  
Louisa Gilbert ◽  
Elwin Wu ◽  
Mingway Chang ◽  
Jorge Fontdevila
Keyword(s):  
New York ◽  
New York City ◽  
Intimate Partner Violence ◽  
York City ◽  
Partner Violence ◽  
Methadone Treatment ◽  
Intimate Partner ◽  
Treatment Programs

Prediction to Successful Treatment Outcome by Client Characteristics and Retention in Treatment in Adolescent Drug Treatment Programs: A Large-Scale Cross Validation Study

1986 ◽  
Vol 16 (2) ◽  
pp. 149-165 ◽  
Author(s):  
Alfred S. Friedman ◽  
Nita W. Glickman ◽  
Margaret R. Morrissey
Keyword(s):  
Drug Use ◽  
Large Scale ◽  
Treatment Time ◽  
Predictor Variable ◽  
Treatment Programs ◽  
Outcome Variable ◽  
Client Characteristics ◽  
Successful Treatment Outcome ◽  
Time In Treatment ◽  
Retention In Treatment

NIDA–CODAP file data on adolescent clients admitted to thirty selected outpatient programs were available for calendar years 1979 ( N = 2509) and 1980 ( N = 3094). Two outcome criterion variables were utilized: 1) CODAP's “Reasons for Discharge” classification, and 2) a formula for “Reduction of Drug Use.” School grade, controlled for age, was the only client predictor variable found to account for more than 1 percent of the variance in the “Reasons for Discharge” outcome variable. Marijuana as the primary drug of abuse was the only client variable to account for more than 1 percent (4.4 percent) of the variance in the Reduction in Drug Use. The primary marijuana users showed less reduction in amount of drug use, and were less often considered to have completed the course of treatment. Time in treatment accounted for 1.6 percent in 1979 and 1.3 percent in 1980 of the variance in the “Reduction in Drug Use” criterion.

Physicians Practicing in Methadone Treatment Programs

2004 ◽  
Vol 23 (2) ◽  
pp. 15-31 ◽  
Author(s):  
W. M. Wechsberg ◽  
B. Flannery ◽  
J. J. Kasten ◽  
C. Suerken ◽  
L. Dunlap ◽  
...  
Keyword(s):  
Methadone Treatment ◽  
Treatment Programs

Reducing Problematic Benzodiazepine Use Among Individuals Enrolled in Methadone Treatment Programs

2016 ◽  
Vol 10 (3) ◽  
pp. 202-207 ◽  
Author(s):  
James M. Schuster ◽  
David Loveland ◽  
Meghna Parthasarathy ◽  
Nicole Maiolo ◽  
Alyssa Cilia ◽  
...  
Keyword(s):  
Methadone Treatment ◽  
Treatment Programs ◽  
Benzodiazepine Use

scholarly journals Emergency-Department Initiated Buprenorphine: Impact on Quality of Life Factors

2021 ◽  
Author(s):  
Caleb Carroll ◽  
Delissa Hand ◽  
Whitney Covington ◽  
Joel Rodgers ◽  
Lauren A. Walter
Keyword(s):  
Quality Of Life ◽  
Emergency Department ◽  
Opioid Use Disorder ◽  
Treatment Programs ◽  
Opioid Use ◽  
Employment Rates ◽  
The Government ◽  
Retention In Treatment

Abstract Background: Emergency department (ED)-initiated medications for opioid use disorder (MOUD) have emerged as an effective strategy against the opioid epidemic. Opioid use disorder (OUD) patients engaged in ED-initiated MOUD programs have higher retention in treatment programs and improved outcomes with regard to overdose rates and mortality. It is unclear however, how engagement in ED-initiated MOUD programs might affect quality of life (QoL). We sought to describe demographic characteristics and QoL factors reported by patients engaged in ED-initiated MOUD and referral services. Methods: An ED MOUD-initiation program was launched in July 2019, with subsequent referral to definitive services. Enrolled patients were interviewed at intake, 3-months, and 6-months to ascertain QoL indices via the Government Performance and Results Act (GPRA) measures. Descriptive statistics and Fisher’s Exact were utilized to assess the data. Results: Through 12/2020, 89 participants were enrolled. The majority were white (85.4%), male (61.8%), and between the ages of 25-44 (75.3%). To-date, 31 participants (43.7% eligible) have completed 3-month follow-up and 28 (45.2% eligible) have competed 6-month follow-up. With regards to assessed QoL factors, over half demonstrated significant improvement, including 5 of 7 psychosocial factors, to include satisfaction with personal relationships, QoL self-rating, satisfaction with personal health, energy for everyday life, and satisfaction with self (p <.05). Financial needs met was the only objective QoL factor to demonstrate significant improvement during the follow-up time period. While not significant, homelessness also decreased, specifically 14 (15.7%) identified as homeless at intake as compared to one (3.7%) at 6-month follow-up. Additional trends toward decreased violence exposure and increased employment rates were also noted.Conclusions: In addition to decreasing illicit opioid drug use, maintenance of ED-initiated MOUD may positively impact broad QoL measures.

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