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[Developments in pharmacotherapy: personalised pharmacotherapy?].

Authors: G, Dom; W, van den Brink;

[Developments in pharmacotherapy: personalised pharmacotherapy?].

Abstract

Effect-sizes of pharmacological treatments for addictive disorders are limited and a substantial number of patients do not derive any benefit from these treatments.To develop strategies that will enhance the effectivity of pharmacotherapy in the future.We reviewed the literature using a model of staging and profiling which matches pharmacological interventions to specific stages of addiction.Pharmacological interventions can be tailored to the specific stage of the disease. In the early stages of a disease, pharmacotherapy can be directed towards reducing impulsivity, craving and compulsive behaviour and controlling substance abuse. In later stages the aim is to reduce negative effects, craving and compulsive behaviour and bring the patient to the stage of total abstinence. Furthermore, if therapists opt for pharmacotherapy they must take specific characteristics of the patient into consideration. Currently, phenotypical (clinical) characteristics do not provide a firm enough basis for pharmacological interventions. Endophenotypical or genetic characteristics seem to be very promising. However, most findings still need to be replicated and validated.The era of truly personalised medication for addiction has not yet arrived, but there are some very promising developments. In the short term, the prospects for pharmacogenetics seem to be the most favourable. A model of staging and profiling can provide a valuable framework for new developments in pharmacotherapy.

Keywords

Diagnostic and Statistical Manual of Mental Disorders, Treatment Outcome, International Classification of Diseases, Substance-Related Disorders, Humans, Precision Medicine, Severity of Illness Index

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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