Evidence map›Paper›PMID 27221624›Full record

ReviewCurrent topics in behavioral neurosciences

Conditioned Taste Avoidance Drug Discrimination Procedure: Assessments and Applications.

Anthony L Riley, Matthew M Clasen, Mary A Friar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current topics in behavioral neurosciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Anthony L RileyPsychopharmacology Laboratory, Center for Behavioral Neuroscience, American University, Washington, DC, 20016, USA. alriley@american.edu.
Matthew M ClasenPsychopharmacology Laboratory, Center for Behavioral Neuroscience, American University, Washington, DC, 20016, USA.
Mary A FriarPsychopharmacology Laboratory, Center for Behavioral Neuroscience, American University, Washington, DC, 20016, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present chapter, we summarize much of the work on the taste avoidance drug discrimination procedure, presenting the logic for its initial introduction and the extension of the procedure in the investigation of the discriminative properties of various drugs. Results from these assessments parallel those from more traditional operant and maze designs in classifying and characterizing the discriminative properties of drug. At the same time, this design reveals a procedure that is sensitive in such assessments by indexing these stimulus properties more rapidly and at lower doses than in the more traditional procedures (in some cases for drugs heretofore resistant in their detection). Importantly, much remains to be learned about the taste avoidance procedure in that the nature of such learning remains unknown and the specific parameters under which it can be established and generalized and its neurochemical and neuroanatomical bases are largely unexplored. The application of drug discrimination learning to human drug abuse continues to be an important consideration for this specific design (as well as that of drug discrimination procedures in general), and recent parallels between drug use and food intake in terms of its regulation by interoceptive stimuli suggests a possible role of the loss of stimulus control in drug escalation and addiction (with possible therapeutic implications via the modulation of these interoceptive cues).

Indexed as

AnimalsAvoidance LearningConditioning, OperantDiscrimination LearningDiscrimination, PsychologicalHumansSubstance-Related DisordersTasteConditioned taste avoidanceDrug classification and characterizationDrug discrimination learningDrug use and abuse

Identifiers

PMID27221624

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Registered trials

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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.