ArticleContemporary clinical trials2020
An adaptive clinical trial design for cocaine use disorder: Extended-release amphetamine salts for early behavioral intervention non-responders.
Article in Contemporary clinical trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01986075 (A Sequenced Behavioral and Medication Intervention for Cocaine Dependence), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Sequenced Behavioral and Medication Intervention for Cocaine Dependence
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Psychosocial interventions for stimulant use disorder.The Cochrane database of systematic reviews · 2024Pooled it
- Mixed amphetamine salts-extended release (MAS-ER) as a behavioral treatment augmentation strategy for cocaine use disorder: A randomized clinical trial.Experimental and clinical psychopharmacology · 2024Trial
- The Therapeutic Potential of Amphetamine-like Psychostimulants.Life (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
BACKGROUND/
aimsCocaine use disorder (CUD) persists as a major public health problem in the United States. Response to evidence-based behavioral treatment has been shown to be predicted by dopaminergic dysfunction. Amphetamine formulations modulate dopaminergic systems and are one of the few agents with positive clinical findings but are associated with unique risks. We aimed to find a model for determining the most appropriate patients for treatment with mixed amphetamine salts-extended-release (MAS-ER) for CUD using an adaptive trial design.
methodsWe are enrolling treatment-seeking adults ages 18-60 years. All eligible participants receive bi-weekly individual counseling augmented with a computer-based intervention based on the community reinforcement approach with contingency management (CRA + CM) for 4 weeks. Participants who fail to achieve abstinence are additionally randomly assigned to 10 weeks of either MAS-ER, titrated up to 80 mg daily, or placebo. All participants complete a follow-up assessment after 12 weeks.
resultsFrequency and amount of cocaine use, cravings, retention, and quality of life will be compared between groups. The primary outcome will be having at least 3 weeks of urine toxicology-confirmed self-reported abstinence. Analyses will also be conducted to identify variables that may help identify who is more or less likely respond to the behavioral intervention during the first 4-weeks of treatment.
conclusionsThis trial more closely mimics a personalized medicine approach that is often used in clinical practice. It will help us understand who may be appropriate for psychostimulant therapy as an enhancement to evidence-based behavioral interventions, while limiting exposure to those who would respond to a psychosocial intervention alone. ClinicalTrials.gov Identifier: NCT01986075.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.