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Monotherapy or Polytherapy for Epilepsy?

Open access
Guberman, Alan·1998·Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques

Abstract

Monotherapy has been promoted as the ideal in epilepsy treatment because of reduced side effects, absence of drug interactions, better compliance, lower cost and, in many cases, improved seizure control compared to polytherapy. The question of monotherapy vs. polytherapy has assumed increasing importance with the availability of multiple new antiepileptic drugs (AEDs), initially tested as add-on agents. The new drugs clobazam, lamotrigine, vigabatrin, gabapentin and topiramate, have also been shown to be effective as monotherapy. These data bring up the possibility of using them as first-line agents. However, a high percentage of patients with resistant epilepsy are treated with polytherapy, which probably benefits only a minority of them. The availability of multiple drugs with different mechanisms of action favours the possibility of "rational polytherapy", taking advantage of possible synergism, a yet unproven concept. This article reviews the theoretical advantages of monotherapy and monotherapy with traditional and newer AEDs.

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Metadata

Authors
Guberman, A.
Venue
Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques
Published
1998-11
Volume
25
Issue
S4
Pages
S3-S8
ISSN
  • 0317-1671 (ISSN-L)
  • 2057-0155
OpenAlex
W21141966
Cited by
252
References
0
FWCI
6.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Monotherapy or Polytherapy for Epilepsy? https://app.cochat.ai/papers/10.1017/s0317167100034892
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Guberman, A. (1998). Monotherapy or Polytherapy for Epilepsy? Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. https://doi.org/10.1017/s0317167100034892

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.