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Learning from the past and looking to the future: Emerging perspectives for improving the treatment of psychiatric disorders
Abstract
Modern neuropsychopharmacology commenced in the 1950s with the serendipitous discovery of first-generation antipsychotics and antidepressants which were therapeutically effective yet had marked adverse effects. Today, a broader palette of safer and better-tolerated agents is available for helping people that suffer from schizophrenia, depression and other psychiatric disorders, while complementary approaches like psychotherapy also have important roles to play in their treatment, both alone and in association with medication. Nonetheless, despite considerable efforts, current management is still only partially effective, and highly-prevalent psychiatric disorders of the brain continue to represent a huge personal and socio-economic burden. The lack of success in discovering more effective pharmacotherapy has contributed, together with many other factors, to a relative disengagement by pharmaceutical firms from neuropsychiatry. Nonetheless, interest remains high, and partnerships are proliferating with academic centres which are increasingly integrating drug discovery and translational research into their traditional activities. This is, then, a time of transition and an opportune moment to thoroughly survey the field. Accordingly, the present paper, first, chronicles the discovery and development of psychotropic agents, focusing in particular on their mechanisms of action and therapeutic utility, and how problems faced were eventually overcome. Second, it discusses the lessons learned from past successes and failures, and how they are being applied to promote future progress. Third, it comprehensively surveys emerging strategies that are (1), improving our understanding of the diagnosis and classification of psychiatric disorders; (2), deepening knowledge of their underlying risk factors and pathophysiological substrates; (3), refining cellular and animal models for discovery and validation of novel therapeutic agents; (4), improving the design and outcome of clinical trials; (5), moving towards reliable biomarkers of patient subpopulations and medication efficacy and (6), promoting collaborative approaches to innovation by uniting key partners from the regulators, industry and academia to patients. Notwithstanding the challenges ahead, the many changes and ideas articulated herein provide new hope and something of a framework for progress towards the improved prevention and relief of psychiatric and other CNS disorders, an urgent mission for our Century.
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“Today’s psychiatric pharmaceuticals almost all target signaling by the monoamine neuromodulators dopamine, serotonin, noradrenaline and/or histamine and their selective GPCR receptors (Data-Franco et al., 2017; Hamon and Blier, 2013; Millan et al., 2015; Urs et al., 2014).”
From Single-cell transcriptomic evidence for dense intracortical neuropeptide networks (2019) · cites this paper as Millan et al., 2015
In the citing paper
“the expectation that highly selective agents acting on specific molecular targets would yield better and safer psychiatric drugs has not been realised (Griebel & Holmes, 2013;Millan, Goodwin, Meyer-Lindenberg, & Ove Ogren, 2015).”
From Novel pharmacological targets in drug development for the treatment of anxiety and anxiety-related disorders (2019) · cites this paper as Millan, Goodwin, Meyer-Lindenberg, & Ove Ogren, 2015
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Metadata
- Authors
- Millan, M. J., Goodwin, G. M., Meyer-Lindenberg, A., & Ove Ögren, S.
- Affiliations
- Servier (France) (FR)
- Warneford Hospital (GB)
- Venue
- European Neuropsychopharmacology
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 25
- Issue
- 5
- Pages
- 599-656
- ISSN
- 0924-977X (ISSN-L)
- OpenAlex
- W2166279367
- Semantic Scholar
- fcbde5665a6187ecde3bf30530ee2f19baab7906
- Cited by
- 132
- References
- 691
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 2 · 2023: 10 · 2022: 14 · 2021: 6 · 2020: 13 · 2019: 14 · 2018: 19 · 2017: 16 · 2016: 17 · 2015: 6
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Neuropsychopharmacology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute for Health and Care Research (NF-SI-0513-10010)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Psychology › Clinical Psychology › Historical Psychiatry and Medical Practices
- Keywords
- neuropsychopharmacology, antipsychotic drugs, antidepressants, schizophrenia, depression, mental illness, mechanism of action, risk factors, pathophysiology, animal models, cell model, clinical trial design, biomarkers, translational research, university-industry collaboration, drug development
- MeSH terms
- Animals, Mental Disorders, Humans, Psychopharmacology, Psychotropic Drugs, History, 20th Century
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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