↓ Skip to main content

The Behavioral Neuroscience of Drug Discrimination

Overview of attention for book
Cover of 'The Behavioral Neuroscience of Drug Discrimination'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 2 Cross-Species Translational Findings in the Discriminative Stimulus Effects of Ethanol
  3. Altmetric Badge
    Chapter 3 Discriminative Stimulus Properties of S (−)-Nicotine: “A Drug for All Seasons”
  4. Altmetric Badge
    Chapter 4 Translational Value of Drug Discrimination with Typical and Atypical Antipsychotic Drugs
  5. Altmetric Badge
    Chapter 5 Discriminative Stimulus Effects of Psychostimulants
  6. Altmetric Badge
    Chapter 8 Conditioned Taste Avoidance Drug Discrimination Procedure: Assessments and Applications
  7. Altmetric Badge
    Chapter 9 Discriminative Stimulus Properties of Opioid Ligands: Progress and Future Directions
  8. Altmetric Badge
    Chapter 10 Human Drug Discrimination: Elucidating the Neuropharmacology of Commonly Abused Illicit Drugs
  9. Altmetric Badge
    Chapter 22 Discriminative Stimulus Effects of Abused Inhalants
  10. Altmetric Badge
    Chapter 24 Discriminative Stimulus Properties of Phytocannabinoids, Endocannabinoids, and Synthetic Cannabinoids
  11. Altmetric Badge
    Chapter 27 The Discriminative Stimulus Properties of Drugs Used to Treat Depression and Anxiety
  12. Altmetric Badge
    Chapter 29 The Discriminative Stimulus Properties of Hallucinogenic and Dissociative Anesthetic Drugs
  13. Altmetric Badge
    Chapter 36 Pharmacokinetic–Pharmacodynamic (PKPD) Analysis with Drug Discrimination
  14. Altmetric Badge
    Chapter 40 Drug Discrimination: Historical Origins, Important Concepts, and Principles
  15. Altmetric Badge
    Chapter 59 A Prospective Evaluation of Drug Discrimination in Pharmacology
Attention for Chapter 24: Discriminative Stimulus Properties of Phytocannabinoids, Endocannabinoids, and Synthetic Cannabinoids
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Discriminative Stimulus Properties of Phytocannabinoids, Endocannabinoids, and Synthetic Cannabinoids
Chapter number 24
Book title
The Behavioral Neuroscience of Drug Discrimination
Published in
Current topics in behavioral neurosciences, January 2016
DOI 10.1007/7854_2016_24
Pubmed ID
Book ISBNs
978-3-31-998559-6, 978-3-31-998561-9
Authors

Jenny L. Wiley, R. Allen Owens, Aron H. Lichtman, Wiley, Jenny L., Owens, R. Allen, Lichtman, Aron H.

Abstract

Psychoactive cannabinoids from the marijuana plant (phytocannabinoids), from the body (endocannabinoids), and from the research lab (synthetic cannabinoids) produce their discriminative stimulus effects by stimulation of CB1 receptors in the brain. Early discrimination work with phytocannabinoids confirmed that Δ(9)-tetrahydrocannabinol (Δ(9)-THC) is the primary psychoactive constituent of the marijuana plant, with more recent work focusing on characterization of the contribution of the major endocannabinoids, anandamide and 2-arachidonoylglycerol (2-AG), to Δ(9)-THC-like internal states. Collectively, these latter studies suggest that endogenous increases in both anandamide and 2-AG seem to be optimal for mimicking Δ(9)-THC's discriminative stimulus effects, although suprathreshold concentrations of anandamide also appear to be Δ(9)-THC-like in discrimination assays. Recently, increased abuse of synthetic cannabinoids (e.g., "fake marijuana") has spurred discrimination studies to inform regulatory authorities by predicting which of the many synthetic compounds on the illicit market are most likely to share Δ(9)-THC's abuse liability. In the absence of a reliable model of cannabinoid self-administration (specifically, Δ(9)-THC self-administration), cannabinoid discrimination represents the most validated and pharmacologically selective animal model of an abuse-related property of cannabinoids - i.e., marijuana's subjective effects. The influx of recent papers in which cannabinoid discrimination is highlighted attests to its continued relevance as a valuable method for scientific study of cannabinoid use and abuse.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 20%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Student > Bachelor 3 10%
Researcher 2 7%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 13%
Biochemistry, Genetics and Molecular Biology 4 13%
Medicine and Dentistry 2 7%
Neuroscience 2 7%
Other 5 17%
Unknown 9 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 December 2021.
All research outputs
#5,290,722
of 25,271,884 outputs
Outputs from Current topics in behavioral neurosciences
#164
of 526 outputs
Outputs of similar age
#84,207
of 406,190 outputs
Outputs of similar age from Current topics in behavioral neurosciences
#26
of 67 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 406,190 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.