Lycopodium Clavatum Pellet
Product Images NDC 0220-3187

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This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Lycopodium Clavatum (NDC 0220-3187). 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 (Lyccla30c)

Label (Lyccla30c)
This is a description of a homeopathic medicine called Lycopodium 30° clavatum, manufactured in France by Boirgn'. The medicine helps with bloated abdomen, improving it by passing gas. The pack contains around 80 pellets with drug facts and instructions for use printed on the inside peel. The active ingredient is present in 0.443 mg per pellet. The medicine is meant for adults and children and should be dissolved under the tongue 5 times a day until the symptoms are relieved as directed by the doctor. If symptoms persist for more than 3 days or worsen, users should consult a doctor. The medicine is not for use by pregnant or breastfeeding mothers without consulting a healthcare professional. Pellets should not be used if the seal is broken. The inactive ingredients are lactose and sucrose. Contact information for further queries and information is provided by Boiron Inc. located in Newtown Square, PA 19073. As the text does not provide any specific symptoms or benefits, a general description of the medicine elements is made.*
FDA Label Image

Lycopodium Clavatum 30c Bp 6896186 07.2020

Lycopodium Clavatum 30c Bp 6896186 07.2020
This text appears to be a product advertisement promoting relief from bloating and gas discomfort due to constipation. It mentions some common symptoms like discomfort, pressure, and gas, which can be relieved using the product.*

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