Erigeron Canadensis Pellet
Product Images NDC 0220-1900

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Erigeron Canadensis (NDC 0220-1900). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Boiron, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Label (Erican30c)

Label (Erican30c)
This is a description for Erigeron canadensis 30°, a homeopathic medicine made in France. It is indicated for pain during menstruation and contains an active ingredient of 0.443 mg per pellet. The product comes with drug facts and instructions for use, and users are advised to seek medical advice if symptoms persist beyond three days or if pregnant. The recommended dose is five pellets dissolved under the tongue three times a day until symptoms improve or as directed by a doctor. The product is manufactured by Boiron Inc. and contains lactose and sucrose as Inactive ingredients. For more information about homeopathic dilutions, visit BoironUSA.com/info.*
FDA Label Image

Erigeron Canadensis 30c

Erigeron Canadensis 30c
This is a medication made in France with Erigeron canadensis as the active ingredient, used for occasional heavy menstruation with pain. It comes in pellet form and is meant to be dissolved under the tongue three times a day until symptoms are relieved or as directed by a doctor. The drug facts warn users to stop use if symptoms persist for more than 3 days or worsen and to ask a doctor if pregnant or breastfeeding. It is distributed by Boiron Inc. and contains lactose and sucrose as inactive ingredients. For additional information, questions or comments, contact BoironUSA.com or call 1-800-BOIRON-1 (1-800-264-7661).*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.