Evidence map›Paper›PMID 27222138›Full record

ReviewCurrent psychiatry reports2016

New Directions in Medication-Facilitated Behavioral Treatment for Substance Use Disorders.

Elias Dakwar, Edward V Nunes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. What Is the "Trigger" of Addiction?Frontiers in behavioral neuroscience · 2020
    Article
  6. A Review of Nonanesthetic Uses of Ketamine.Anesthesiology research and practice · 2020
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Elias DakwarDivision on Substance Abuse, Department of Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons at Columbia University Medical Center, New York, NY, USA. dakware@nyspi.columbia.edu.
Edward V NunesDivision on Substance Abuse, Department of Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons at Columbia University Medical Center, New York, NY, USA.
Columbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A promising approach to addressing substance use disorders is to integrate pharmacotherapy with a behavioral treatment with which synergy is possible. In this review, we focus on recent research suggesting that this approach may be effective for cocaine and cannabis use disorders, both of which currently lack efficacious medications. We summarize potential targets of pharmacotherapy of particular relevance to combined medication-behavioral treatment and examine preliminary evidence of clinical efficacy. Common to these promising medications is a hypothesized mechanism of action predicated on reversing drug-related neural adaptations, such as high reactivity to stress or drug cues, that might undermine fruitful engagement with behavioral treatment. We also review emerging medications, such as certain glutamatergic and serotonergic agents, which may be feasibly integrated with existing treatments. We conclude with an outline of future directions for research.

Indexed as

Behavior TherapyCombined Modality TherapyHumansPsychotropic DrugsSubstance-Related DisordersTreatment OutcomePsychotropic DrugsAddictionBehavioral treatmentCannabisCocaineCombined treatmentMedicationUse disorder

Identifiers

PMID27222138
OpenAlexW2401917476

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.