Influenzinum
Product Images NDC 0220-2719

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Influenzinum (NDC 0220-2719). 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 (Influenzinum 2021 2022 9c Udt)

Label (Influenzinum 2021 2022 9c Udt)
Influenzinum is a homeopathic medicine used for fever and flu-like symptoms. The product is produced by Boiron and has an HPUS NDC code of 0220-2719-31. The label provides warnings to stop using the product if symptoms worsen or persist, to seek medical help immediately in case of accidental overdose, and to keep it out of reach of children. The recommended dose is to place the contents under the tongue and repeat as necessary up to three times a day. The product should not be used if the seal on the cap is broken or missing. The label also states that the claims are based on traditional homeopathic practice and have not been evaluated by the FDA.*
FDA Label Image

Label (Influenzinum 2021 2022 9c)

Label (Influenzinum 2021 2022 9c)
Influenzinum 9c is a homeopathic medicine made in France that is used to treat after-effects of flu or flu-like symptoms. It contains approximately 80 pellets with 0.443 mg of active ingredients per pellet. It should be dissolved under the tongue 3 times a day until symptoms are relieved or as directed by a doctor. The product should not be used if the pellet dispenser seal is broken. The inactive ingredients are lactose and sucrose. If symptoms persist for more than three days or worsen, it is recommended to consult a doctor. Pregnant or breastfeeding women should ask a healthcare professional before using this product.*

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