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Feigel ML, Kennard A, Lannaman K. Herbalism for Modern Obstetrics. Clin Obstet Gynecol 2021; 64:611-634. [PMID: 34323236 DOI: 10.1097/grf.0000000000000637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
More pregnant and nursing mothers are using herbal remedies than health care providers realize. Lack of familiarity with herbalism in addition to the sparsity of high-quality research for many complementary and alternative medicines are barriers for the western practitioner to engage a patient about herbal therapies. This review provides historical information and available evidence for Traditional Chinese and Western herbal medicines commonly sought by pregnant and nursing mothers. We will review herbs commonly used for: nausea and vomiting, constipation, gestational diabetes, threatened miscarriage, immune system support, parturition preparation, postpartum depression, postpartum bleeding and pain, wound healing, and lactation support.
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Affiliation(s)
| | - Anne Kennard
- Marian Regional Medical Center, Santa Maria, California
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Boland MR, Jacunski A, Lorberbaum T, Romano JD, Moskovitch R, Tatonetti NP. Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2015; 8:104-22. [PMID: 26559926 DOI: 10.1002/wsbm.1323] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Revised: 09/30/2015] [Accepted: 10/01/2015] [Indexed: 01/06/2023]
Abstract
Small molecules are indispensable to modern medical therapy. However, their use may lead to unintended, negative medical outcomes commonly referred to as adverse drug reactions (ADRs). These effects vary widely in mechanism, severity, and populations affected, making ADR prediction and identification important public health concerns. Current methods rely on clinical trials and postmarket surveillance programs to find novel ADRs; however, clinical trials are limited by small sample size, whereas postmarket surveillance methods may be biased and inherently leave patients at risk until sufficient clinical evidence has been gathered. Systems pharmacology, an emerging interdisciplinary field combining network and chemical biology, provides important tools to uncover and understand ADRs and may mitigate the drawbacks of traditional methods. In particular, network analysis allows researchers to integrate heterogeneous data sources and quantify the interactions between biological and chemical entities. Recent work in this area has combined chemical, biological, and large-scale observational health data to predict ADRs in both individual patients and global populations. In this review, we explore the rapid expansion of systems pharmacology in the study of ADRs. We enumerate the existing methods and strategies and illustrate progress in the field with a model framework that incorporates crucial data elements, such as diet and comorbidities, known to modulate ADR risk. Using this framework, we highlight avenues of research that may currently be underexplored, representing opportunities for future work.
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Affiliation(s)
- Mary Regina Boland
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.,Department of Systems Biology, Columbia University, New York, NY, USA.,Department of Medicine, Columbia University, New York, NY, USA.,Observational Health Data Science and Informatics (OHDSI), New York, NY, USA
| | - Alexandra Jacunski
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.,Department of Systems Biology, Columbia University, New York, NY, USA.,Department of Medicine, Columbia University, New York, NY, USA.,Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University, New York, NY, USA
| | - Tal Lorberbaum
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.,Department of Systems Biology, Columbia University, New York, NY, USA.,Department of Medicine, Columbia University, New York, NY, USA.,Department of Physiology and Cellular Biophysics, Columbia University, New York, NY, USA
| | - Joseph D Romano
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.,Department of Systems Biology, Columbia University, New York, NY, USA.,Department of Medicine, Columbia University, New York, NY, USA
| | - Robert Moskovitch
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.,Department of Systems Biology, Columbia University, New York, NY, USA.,Department of Medicine, Columbia University, New York, NY, USA
| | - Nicholas P Tatonetti
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.,Department of Systems Biology, Columbia University, New York, NY, USA.,Department of Medicine, Columbia University, New York, NY, USA.,Observational Health Data Science and Informatics (OHDSI), New York, NY, USA
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Abstract
The management of mood disorders during pregnancy is complex due to risks associated with medication use and risks associated with untreated depression. Antidepressant use during pregnancy is an exposure for the unborn child, and it currently remains unclear what long-term repercussions there might be from this exposure, though available data are reassuring. On the other hand, there are risks for both the mother and child of untreated depression during pregnancy. There is a real need for research into nonpharmacological strategies for the prevention of relapse of mood disorders in pregnant women who are off medications. We have reviewed a number of potential candidate interventions including psychotherapies, exercise, light box therapy (LBT), repetitive transcranial magnetic stimulation (rTMS), electroconvulsive therapy (ECT), holistic strategies, and nutritional and herbal supplements. Currently there is a lack of evidence supporting the use of such strategies in the prevention of depressive relapse during pregnancy, though most of these strategies have at least some support for their use in the treatment of a major depressive episode. Carefully conducted research using one or more of these strategies in women who want to discontinue antidepressants for pregnancy is sorely needed.
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