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Substance Use Disorders

Overview of attention for book
Cover of 'Substance Use Disorders'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 251 Molecular Mechanisms of Amphetamines
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    Chapter 252 Molecular Mechanisms Associated with Nicotine Pharmacology and Dependence
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    Chapter 253 Randomized Clinical Trials Investigating Innovative Interventions for Smoking Cessation in the Last Decade
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    Chapter 257 Activity-Dependent Epigenetic Remodeling in Cocaine Use Disorder.
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    Chapter 258 Pharmacotherapies for Cannabis Use Disorders: Clinical Challenges and Promising Therapeutic Agents
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    Chapter 259 Translational Molecular Approaches in Substance Abuse Research.
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    Chapter 260 Newly Emerging Drugs of Abuse.
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    Chapter 265 Behavioral Pharmacology of Drugs Acting at Mu Opioid Receptors
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    Chapter 268 The Rise and Fall of Kappa-Opioid Receptors in Drug Abuse Research.
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    Chapter 270 Emerging Insights into Mu Opioid Pharmacology
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    Chapter 295 Medication Development for Alcohol Use Disorder: A Focus on Clinical Studies
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    Chapter 296 Adolescent Vulnerability to Alcohol Use Disorder: Neurophysiological Mechanisms from Preclinical Studies
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    Chapter 298 Molecular Mechanism and Cannabinoid Pharmacology
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    Chapter 300 Modelling Differential Vulnerability to Substance Use Disorder in Rodents: Neurobiological Mechanisms
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    Chapter 303 Clinical Trials for Stimulant Use Disorders: Addressing Heterogeneities That May Undermine Treatment Outcomes
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    Chapter 304 Clinical Trials for Opioid Use Disorder
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    Chapter 313 Small Molecule Neuropeptide S and Melanocortin 4 Receptor Ligands as Potential Treatments for Substance Use Disorders
  19. Altmetric Badge
    Chapter 319 Methods for Population Research on Substance Use and Consequences
Attention for Chapter 259: Translational Molecular Approaches in Substance Abuse Research.
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Chapter title
Translational Molecular Approaches in Substance Abuse Research.
Chapter number 259
Book title
Substance Use Disorders
Published in
Handbook of experimental pharmacology, October 2019
DOI 10.1007/164_2019_259
Pubmed ID
Book ISBNs
978-3-03-033678-3, 978-3-03-033679-0
Authors

Fulton, Sasha L, Maze, Ian, Sasha L. Fulton, Ian Maze, Fulton, Sasha L.

Abstract

Excessive abuse of psychoactive substances is one of the leading contributors to morbidity and mortality worldwide. In this book chapter, we review translational research strategies that are applied in the pursuit of new and more effective therapeutics for substance use disorder (SUD). The complex, multidimensional nature of psychiatric disorders like SUD presents difficult challenges to investigators. While animal models are critical for outlining the mechanistic relationships between defined behaviors and genetic and/or molecular changes, the heterogeneous pathophysiology of brain diseases is uniquely human, necessitating the use of human studies and translational research schemes. Translational research describes a cross-species approach in which findings from human patient-based data can be used to guide molecular genetic investigations in preclinical animal models in order to delineate the mechanisms of reward circuitry changes in the addicted state. Results from animal studies can then inform clinical investigations toward the development of novel treatments for SUD. Here we describe the strategies that are used to identify and functionally validate genetic variants in the human genome which may contribute to increased risk for SUD, starting from early candidate gene approaches to more recent genome-wide association studies. We will next examine studies aimed at understanding how transcriptional and epigenetic dysregulation in SUD can persistently alter cellular function in the disease state. In our discussion, we then focus on examples from the literature illustrating molecular genetic methodologies that have been applied to studies of different substances of abuse - from alcohol and nicotine to stimulants and opioids - in order to exemplify how these approaches can both delineate the underlying molecular systems driving drug addiction and provide insights into the genetic basis of SUD.

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 %
Researcher 5 17%
Student > Bachelor 2 7%
Other 2 7%
Student > Master 2 7%
Student > Ph. D. Student 2 7%
Other 4 13%
Unknown 13 43%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Psychology 2 7%
Neuroscience 2 7%
Other 1 3%
Unknown 14 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 November 2020.
All research outputs
#14,743,837
of 23,607,611 outputs
Outputs from Handbook of experimental pharmacology
#361
of 652 outputs
Outputs of similar age
#197,094
of 358,107 outputs
Outputs of similar age from Handbook of experimental pharmacology
#8
of 10 outputs
Altmetric has tracked 23,607,611 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 652 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 358,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.