2023
DOI: 10.1016/j.explore.2022.11.002
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East asian herbal medicine for the treatment of children with attention deficit hyperactivity disorder: A Systematic Review and Meta-analysis

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Cited by 6 publications
(7 citation statements)
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“…In a meta-analysis of 746 children with ADHD [ 20 ], combined therapy involving East Asian herbal medicine (EAHM) alongside conventional WM exhibited a superior clinical efficacy rate when compared to conventional WM alone. The integration of EAHM significantly reduced the scores on all five subscales of the Conner’s Parent Rating Scales compared to methylphenidate alone.…”
Section: Discussionmentioning
confidence: 99%
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“…In a meta-analysis of 746 children with ADHD [ 20 ], combined therapy involving East Asian herbal medicine (EAHM) alongside conventional WM exhibited a superior clinical efficacy rate when compared to conventional WM alone. The integration of EAHM significantly reduced the scores on all five subscales of the Conner’s Parent Rating Scales compared to methylphenidate alone.…”
Section: Discussionmentioning
confidence: 99%
“…Among the above drugs, four, except for Zizyphi Spinosae Semen, were included in the top 12 frequently used herbs in a literature review [ 51 ] that analyzed the prescriptions of 88 traditional Chinese medicines for ADHD treatment. In addition, Polygalae Radix, Acori Graminei Rhizoma, and Rehmanniae Radix Preparat were included in the top five most frequently used herbs in an SR study [ 20 ], which analyzed 42 RCTs of herbal medicine treatment for ADHD in children and adolescents. The top five frequently used acupoints in acupuncture were PC6, GV20, LI4, LR3, and HT7.…”
Section: Discussionmentioning
confidence: 99%
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“…Natural substances offer various pharmacologically active constituents, which have a long history of human use for the treatment of various diseases ( Jo et al, 2023c ; Lee et al, 2023 ). The unique properties of natural products, such as multitarget effects based on multiple compounds, are thought to be well adapted to the requirements of DMOADs in drug discovery ( Yang et al, 2017 ; Luo et al, 2020 ; Jo et al, 2021 ; 2023b ; Panossian, 2023 ; Ren et al, 2023 ).…”
Section: Introductionmentioning
confidence: 99%