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210512 ||| eng |
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|a books978-3-03943-886-0
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|a 9783039438853
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|a 9783039438860
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| 100 |
1 |
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|a Gual, Antoni
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| 245 |
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0 |
|a Assessment & Treatment of Addictions
|h Elektronische Ressource
|b New Tools for Old Problems
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (166 p.)
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| 653 |
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|a amphetamine
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| 653 |
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|a observational
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| 653 |
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|a phase-IV trial
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| 653 |
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|a optogenetics
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| 653 |
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|a ALCO-VR
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| 653 |
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|a animal and computational models
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| 653 |
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|a nalmefene
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| 653 |
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|a assessment
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| 653 |
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|a reward
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| 653 |
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|a psychometric properties
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| 653 |
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|a Gambling-Symptoms Assessment Scale (G-SAS)
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| 653 |
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|a cannabidiol
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| 653 |
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|a behavioral control
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| 653 |
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|a substance use disorders
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| 653 |
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|a alternative reward
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| 653 |
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|a Humanities / bicssc
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| 653 |
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|a alcohol
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| 653 |
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|a Social interaction / bicssc
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| 653 |
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|a memory
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| 653 |
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|a craving and relapse
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| 653 |
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|a transdermal sensor
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| 653 |
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|a assessment instruments
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| 653 |
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|a stigma
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| 653 |
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|a cocaine use disorder (CUD)
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| 653 |
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|a digital health
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| 653 |
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|a cannabis
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| 653 |
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|a craving
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| 653 |
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|a habit formation
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| 653 |
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|a gambling disorder (GD)
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| 653 |
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|a cue-exposure
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| 653 |
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|a substance use disorder
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| 653 |
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|a high risk drinkers
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|a virtual reality
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| 653 |
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|a social drinkers
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|a motor adaptation
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|a adolescents
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|a internet gaming disorder
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| 653 |
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|a self-administration
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| 653 |
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|a schizophrenia
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| 653 |
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|a dorsolateral prefrontal cortex (DLPFC)
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| 653 |
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|a drinking reduction
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| 653 |
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|a visuomotor rotation
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| 653 |
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|a treatment
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| 653 |
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|a addiction
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| 653 |
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|a Pavlovian-to-instrumental transfer
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|a transgenic mice
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| 653 |
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|a anxiety
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| 653 |
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|a cocaine
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| 653 |
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|a alcohol dependence
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| 653 |
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|a attitudes
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|a repetitive transcranial magnetic stimulation (rTMS)
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| 653 |
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|a implicit motor learning
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| 653 |
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|a amygdala
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|a psychosis
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|a alcohol craving
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| 653 |
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|a cue exposure
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| 653 |
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|a 6 months
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|a alcohol use disorder
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|a polygenic risk
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|a CBD
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| 653 |
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|a cerebellum
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| 653 |
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|a semi-structured diagnostic interview
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| 700 |
1 |
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|a Barrio, Pablo
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| 700 |
1 |
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|a Miquel, Laia
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| 700 |
1 |
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|a Gual, Antoni
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
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|a 10.3390/books978-3-03943-886-0
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| 856 |
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|u https://www.mdpi.com/books/pdfview/book/3326
|7 0
|x Verlag
|3 Volltext
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|u https://directory.doabooks.org/handle/20.500.12854/68316
|z DOAB: description of the publication
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|a 610
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|a 140
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|a Addiction in its various forms represents an enormous challenge to society. Worldwide, it has been estimated that alcohol, tobacco and illicit drugs were responsible of more than 10 million deaths (Anderson et al, 2018), with a higher impact in developed countries where substance use disorders have been identified as responsible for life expectancy reversals (Rehm et al, 2016). Societal and medical responses to the problem are far from optimal, but the appearance of new technologies offers room for improvement, and lots of new initiatives have been launched and developed. In this Special Issue, we will describe and discuss how these new tools are helping to improve the assessment and treatment of substance use disorders. We will cover a wide variety of novelties that are being applied to addiction; e-health, APPs, digital phenotyping, ecological momentary assessment and interventions, wearable technology, computer-assisted tests, transcraneal magnetic stimulation, and virtual reality are just some examples of developments in a field that promises to create a real revolution in the assessment and treatment of addictions.
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