Product Images Agraphis Nutans

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Product Label Images

The following 2 images provide visual information about the product associated with Agraphis Nutans NDC 63545-259 by Hahnemann Laboratories, Inc., 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.

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This is a description of a homeopathic medicine product by Hahnemann Labs Inc. located in San Rafael, California. The product is labeled as AGRAPHIS NUTANS 6C and is intended for traditional homeopathic uses such as for diarrhea. It contains 5g of pellets with active and inactive ingredients listed. The product also includes warnings for pregnant or breastfeeding women and directions to take 5 pellets orally once, or as directed by a health professional. If necessary, the customer service number for the company is provided for any questions related to the product. The additional text appears to be gibberish, not related to the product description.*

Agraphis nutans 6C 5g - Agraphis nutans 6C 5g

Agraphis nutans 6C 5g - Agraphis nutans 6C 5g

Hahnemann Labs Inc produces a homeopathic medicine called AGRAPHIS NUTANS in the form of pellets. Each pellet has a minimum net weight of 5g and contains active ingredients that are intended for traditional homeopathic use such as treating diarrhea. The inactive ingredient in the pellets is sucrose. The product also comes with warning labels stating that pregnant or breastfeeding women should consult a health professional before using it, and if the symptoms persist beyond 3 days, they should consult a health professional. Users are advised to take 5 pellets orally at a time or as directed by a health professional. For any inquiries, toll-free customer service is available at 888-427-6422. The unreadable characters suggest that the text has been tampered with or unrecognized by the tool.*

* 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.