Antipsychotic drugs: challenges and future directions
Open accessAbstract
Some sixty years on from the first use of chlorpromazine to treat schizophrenia, it is worth reflecting on where we have come from. Back in the 1950s, it was not known that dopamine was a neurotransmitter, how antipsychotics worked, what symptoms they worked on, or indeed if they worked at all1. Now we know that dopamine is a neurotransmitter, antipsychotics are all dopamine receptor blockers and, as Correll et al2 nicely review, large randomized, double-blind placebo-controlled trials have unequivocally demonstrated that they work both to treat acute psychotic episodes and to reduce relapse rates over the short to medium term. Recent meta-analytic data generated from over sixty years of placebo-controlled trials estimate the standardized mean difference (SMD) between antipsychotics and placebo to be 0.38, with a greater effect seen on positive symptoms (SMD=0.45) than negative symptoms (SMD=0.35), quality of life (SMD=0.35) or depression (SMD=0.27)3. Such effect sizes are comparable to or larger than those found for treatments used for many common physical health conditions, including angiotensin-converting enzyme (ACE) inhibitors for reducing cardiac events and mortality due to hypertension (SMD=0.16) and statins for reducing the risk of cardiac disease and stroke (SMD=0.15)4. Clearly, we have come a long way from the 1950s, but, despite these robust data on antipsychotics, many fundamental gaps in knowledge remain. One glaring gap highlighted in this Forum is that as of yet we are unable to say conclusively what the optimum length of treatment with antipsychotic medication should be, once a patient has recovered from an acute episode. In current practice, many patients are treated with antipsychotic medication long-term if not lifelong, in an attempt to prevent the frequency and severity of relapses that can be so disruptive to a person's life. Where patients are symptom free but experiencing side effects, such as weight gain, that may shorten life as well as affect its quality, the risk-benefit balance for relapse prevention is finely poised. Yet, as Correll et al highlight, there is little evidence from randomized, double blind controlled studies to support prophylactic treatment beyond two-three years. Whilst some naturalistic studies do provide support for treatment beyond this term, the inherent limitations of these designs mean that the question remains unresolved, and guidelines cannot be conclusive. This is a challenge to the field which needs to be met. We will need longer and, crucially, larger randomized controlled studies. This will not be easy, but other fields have risen to the challenge. For instance, in the case of the examples discussed above, statins and ACE inhibitors, there are now a number of randomized placebo-controlled trials with several thousand patients. These studies are roughly two orders of magnitude larger and five to ten times longer than the typical long-term randomized controlled study in schizophrenia. These large sample sizes give the power to have extended follow-up and account for treatment changes and drop-out. It is likely that we will need new ways of working, including international academic consortia as well as partnership with the pharmaceutical industry and governments, to achieve such large-scale studies. Correll et al also highlight heterogeneity in schizophrenia, something that is increasingly becoming apparent in the neurobiology underlying the disorder as well as its clinical manifestations, course and treatment response5. Treatment resistance is probably the most clinically important manifestation of heterogeneity in patients with schizophrenia, and remains a major issue that continues to provoke debate over its pathophysiology, diagnosis and clinical management6. About a third of patients are thought to have treatment resistant illnesses, and around 15% show treatment resistance from illness onset7. Moreover, we have no way to identify the individuals whose illness will benefit from antipsychotic treatment. Thus, large numbers of patients currently receive antipsychotic treatment although their illness is unlikely to respond to dopamine antagonists. The solutions to this will likely be found in part through identifying biomarkers that allow disease stratification, for example by the likelihood of response to dopamine receptor antagonists and, in the future, novel non-dopamine receptor blocking medication. As both trial data and clinical experience show, current antipsychotic treatment works most effectively in reducing the positive symptoms of schizophrenia, whereas the negative and cognitive symptoms often remain problematic. Cognitive symptoms in particular are associated with poor functional outcomes in schizophrenia8, yet our current treatments do nothing for them. In fact, there is evidence to suggest that dopamine antagonists may cause secondary negative and cognitive symptoms in people with schizophrenia9. Put simply, taking an antipsychotic may
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In schizophrenia and psychotic disorders, adherence to pharmacological treatments is frequently far from optimal.
“These latter aspects related to adherence are especially relevant in the setting of schizophrenia and psychotic disorders, where adherence to pharmacological treatments is frequently far from optimal and represents the main cause of relapse [16–18] and hospitalizations [19, 20].”
From The role of shared decision-making in improving adherence to pharmacological treatments in patients with schizophrenia: A clinical review (2020) · cites this paper as [18]
In schizophrenia and psychotic disorders, poor adherence to pharmacological treatments is the main cause of relapse and hospitalizations.
“These latter aspects related to adherence are especially relevant in the setting of schizophrenia and psychotic disorders, where adherence to pharmacological treatments is frequently far from optimal and represents the main cause of relapse [16–18] and hospitalizations [19, 20].”
From The role of shared decision-making in improving adherence to pharmacological treatments in patients with schizophrenia: A clinical review (2020) · cites this paper as [18]
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Cites
Howes, O. D., McCutcheon, R. A., Agid, O., de Bartolomeis, A., van Beveren, N. J. M., Birnbaum, M. L., Bloomfield, M., Bressan, R. A., Buchanan, R. W., Carpenter, W. T., et al. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16050503 · Cited by 1,145 · see citing works
Self-citationSchizophrenia: an integrated sociodevelopmental-cognitive model
Howes, O. D., & Murray, R. M. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62036-x · Cited by 864 · see citing works
Self-citationGlutamate and dopamine in schizophrenia: An update for the 21 <sup>st</sup> century
Howes, O., McCutcheon, R., & Stone, J. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881114563634 · Cited by 702 · see citing works
Self-citationLeucht, S., Leucht, C., Huhn, M., Chaimani, A., Mavridis, D., Helfer, B., Samara, M., Rabaioli, M., Bächer, S., Cipriani, A., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16121358 · Cited by 542 · see citing works
Leucht, S., Hierl, S., Kissling, W., Dold, M., & Davis, J. M. (2012) · British Journal of Psychiatry · doi:10.1192/bjp.bp.111.096594 · Cited by 451 · see citing works
Dopamine Synthesis Capacity in Patients With Treatment-Resistant Schizophrenia
Demjaha, A., Murray, R. M., McGuire, P. K., Kapur, S., & Howes, O. D. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12010144 · Cited by 351 · see citing works
Self-citationHeterogeneity and Homogeneity of Regional Brain Structure in Schizophrenia
Brugger, S. P., & Howes, O. D. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.2663 · Cited by 332 · see citing works
Self-citationWhat is the risk‐benefit ratio of long‐term antipsychotic treatment in people with schizophrenia?
Correll, C. U., Rubio, J. M., & Kane, J. M. (2018) · World Psychiatry · doi:10.1002/wps.20516 · Cited by 324 · see citing works
Lally, J., Ajnakina, O., Di Forti, M., Trotta, A., Demjaha, A., Kolliakou, A., Mondelli, V., Reis Marques, T., Pariante, C., Dazzan, P., et al. (2016) · Psychological Medicine · doi:10.1017/s0033291716002014 · Cited by 298 · see citing works
Self-citationGreen, M. F. (2016) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14074su1c.02 · Cited by 290 · see citing works
Secondary negative symptoms — A review of mechanisms, assessment and treatment
Kirschner, M., Aleman, A., & Kaiser, S. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.05.003 · Cited by 215 · see citing works
Novel Findings from CNVs Implicate Inhibitory and Excitatory Signaling Complexes in Schizophrenia
Pocklington, A. J., Rees, E., Walters, J. T. R., Han, J., Kavanagh, D. H., Chambert, K. D., Holmans, P., Moran, J. L., McCarroll, S. A., Kirov, G., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.04.022 · Cited by 193 · see citing works
The long‐term treatment of schizophrenia with antipsychotics: a perennial debate
Fleischhacker, W. W. (2018) · World Psychiatry · doi:10.1002/wps.20542 · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 18
- Leucht S, Tardy M, Komossa K et al. Lancet 2012;379:2063-71.
- Wunderink L, Nieboer RM, Wiersma D et al. JAMA Psychiatry 2013;70:913-20.
- Chouinard G, Jones BD. Am J Psychiatry 1980; 137:16-21.
- Goff DC, Falkai P, Fleischhacker WW et al. Am J Psychiatry 2017;174:840-9.
- Murray RM, Quattrone D, Natesan S et al. Br J Psychiatry 2016;209:361-5.
- Correll CU, Rubio JM, Kane JM. World Psychiatry 2018;17:149-60.
- DeLisi LE, Fleischhacker WW. Curr Opin Psychi- atry 2016;29:187-9.
- Howes O, McCutcheon R, Stone J. J Psycho- pharmacol 2015;29:97-115.
- Correll CU, Rubio JM, Kane JM. World Psychia- try 2018;17:149-60.
- Leucht S, Leucht C, Huhn M et al. Am J Psychi- atry 2017;174:927-42.
- Leucht S, Hierl S, Kissling W et al. Br J Psychia- try 2012;200:97-106.
- Brugger SP, Howes OD. JAMA Psychiatry 2017; 74:1104-11.
- Howes OD, McCutcheon R, Agid O et al. Am J Psychiatry 2016;174:216-29.
- Lally J, Ajnakina O, Di Forti M et al. Psychol Med 2016;46:3231-40.
- Kirschner M, Aleman A, Kaiser S. Schizophr Res 2017;186:29-38.
- Demjaha A, Murray RM, McGuire PK et al. Am J Psychiatry 2012;169:1203-10.
- Pocklington AJ, Rees E, Walters JT et al. Neuron 2015;86:1203-14.
- Howes OD, Murray RM. Lancet 2014;383:1677- 87. DOI:10.1002/wps.20522 World Psychiatry 17:2 -June 2018
Cited by
Sorted by citations
Sabé, M., Pillinger, T., Kaiser, S., Chen, C., Taipale, H. T., Tanskanen, A. J., Tiihonen, J., Leucht, S., Correll, C. U., & Solmi, M. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104608 · Cited by 215 · see citing works
Schizophrenia: from neurochemistry to circuits, symptoms and treatments
Howes, O., Bukala, B., & Beck, K. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00904-0 · Cited by 136 · see citing works
Self-citationFiorillo, A., Barlati, S., Bellomo, A., Corrivetti, G., Nicolò, G., Sampogna, G., Stanga, V., Veltro, F., Maina, G., & Vita, A. (2020) · Annals of General Psychiatry · doi:10.1186/s12991-020-00293-4 · Cited by 110 · see citing works
Smith, R. C., Leucht, S., & Davis, J. M. (2019) · Psychopharmacology · doi:10.1007/s00213-018-5133-z · Cited by 41 · see citing works
Pandey, M., Jain, N., Kanoujia, J., Hussain, Z., & Gorain, B. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.865590 · Cited by 40 · see citing works
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Mahmood, D., Alenezi, S. K., Anwar, M. J., Azam, F., Qureshi, K. A., & Jaremko, M. (2022) · Pharmaceuticals · doi:10.3390/ph15050640 · Cited by 29 · see citing works
Parras, G. G., Valdés‐Baizabal, C., Harms, L. R., Michie, P. T., & Malmierca, M. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-68837-y · Cited by 29 · see citing works
Razakarivony, O., Newman‐Tancredi, A., & Zimmer, L. (2021) · Translational Psychiatry · doi:10.1038/s41398-020-01119-3 · Cited by 27 · see citing works
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Sonnenschein, S. F., & Grace, A. A. (2020) · Expert Opinion on Therapeutic Targets · doi:10.1080/14728222.2021.1849144 · Cited by 23 · see citing works
Chen, T., Hsieh, T., Chen, M., Tseng, W., Hung, C., & Chen, C.-R. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.713623 · Cited by 24 · see citing works
Joshi, R., Missong, H., Mishra, J., Kaur, S., Saini, S., Kandimalla, R. J. L., Reddy, P. H., Babu, A. M., Bhatti, G. K., & Bhatti, J. S. (2023) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2023.105067 · Cited by 23 · see citing works
A new era for schizophrenia drug development – Lessons for the future
Granger, K. T., Sand, M. S., Caswell, S., Lizarraga‐Valderrama, L. R., Barnett, J. H., & Moran, P. M. (2023) · Drug Discovery Today · doi:10.1016/j.drudis.2023.103603 · Cited by 19 · see citing works
Kaar, S. J., Angelescu, I., Nour, M. M., Marques, T. R., Sharman, A., Sajjala, A., Hutchison, J. B., McGuire, P. K., Large, C. H., & Howes, O. D. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06216-3 · Cited by 14 · see citing works
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Horská, K., Kučerová, J., & Skrede, S. (2022) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2022.06.005 · Cited by 13 · see citing works
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Coughlin, J. M., Horti, A. G., & Pomper, M. G. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.03.016 · Cited by 11 · see citing works
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Takeuchi, H., Leucht, S., Kane, J. M., Agid, O., & Remington, G. J. (2021) · Schizophrenia Bulletin · doi:10.1093/schbul/sbab016 · Cited by 4 · see citing works
Lalut, J., Hocine, S., Maertens, G., Vilchis‐Reyes, M. A., & Hanessian, S. (2023) · Journal of Molecular Structure · doi:10.1016/j.molstruc.2023.137104 · Cited by 2 · see citing works
Hu, S., Deng, L., Cai, Z. P., Yuan, Q., Jiang, L., Luo, C., Wang, Y., & Huang, Y. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115917 · Cited by 2 · see citing works
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Molony, L. E., & Tautz, L. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27062822 · Cited by 1 · see citing works
Lagojda, L., MacGregor, L., Maisha, M., Abdi, S., Janchivlamdan, D., Forsythe, I. D., & Zhu, L. (2026) · Neuropharmacology · doi:10.1016/j.neuropharm.2026.111075 · Cited by 1 · see citing works
Lawrence, R. E. (2022) · Schizophrenia Bulletin Open · doi:10.1093/schizbullopen/sgac058 · Cited by 1 · see citing works
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- Authors
- Howes, O. H., & Kaar, S. J.
- Affiliations
- Institute of Psychiatry, Psychology & Neuroscience, King's College London London UK
- King's College London (GB)
- ORCID
- Kaar, Stephen J.
- Venue
- World Psychiatry
- Publisher
- Wiley
- Published
- 2018-05-24
- Volume
- 17
- Issue
- 2
- Pages
- 170-171
- ISSN
- 1723-8617 (ISSN-L)
- 2051-5545
- PMC
- PMC5980606
- OpenAlex
- W2806756628
- Cited by
- 24
- References
- 12
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 3 · 2019: 1 · 2018: 1
- FWCI
- 1.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- World Psychiatry (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- Imperial College London
- King's College London
- Medical Research Council
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Keywords
- antipsychotic drugs, schizophrenia, relapse prevention, long-term antipsychotic treatment, treatment duration, dopamine antagonists, antipsychotic adverse effects, weight gain, benefits and risks, naturalistic study, treatment guidelines, quality of life, depression in schizophrenia, chlorpromazine, positive and negative symptoms
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