Product Images Aconitum Napellus

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Product Label Images

The following 2 images provide visual information about the product associated with Aconitum Napellus NDC 0220-0040 by Boiron, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

label - ACONAP10M

label - ACONAP10M

Aconitum napellus 4(Q) is a homeopathic medicine that is made in France and contains about 80 pellets. It is used for symptoms such as high fever of sudden onset with dry skin. The active ingredient of the medicine is written on the front panel with an instruction to dissolve 5 pellets under the tongue 3 times a day until symptoms are relieved. If symptoms persist or worsen, it is recommended to stop use and ask a doctor. The medicine should be kept out of reach of children, and pregnant or breastfeeding women should consult a health professional before use. The medicine dispenser seal should not be broken, and it contains lactose and sucrose as inactive ingredients. For other details or any questions, one can visit BoironUSA.com or call at 1-800-BOIRON-1 (1-800-264-7661).*

Aconitum napellus 10M label

Aconitum napellus 10M label

This is a description of a homeopathic medicine called Aconitum napellus 10, made in France. It is used to relieve symptoms of high fever with sudden onset and dry skin. The drug contains less than 10mg of aconitine alkaloids per pellet, and each package contains around 80 pellets. The product comes with drug facts and instructions for use. It should not be used if the pellet dispenser seal is broken. The medicine should be dissolved under the tongue 3 times a day, and if symptoms persist or worsen, a doctor should be consulted. The inactive ingredients are lactose and sucrose. The product is distributed by Boiron Inc. and questions or comments can be directed to BoironUSA.com or 1-800-BOIRON-1.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.