Product Images Arnica Montana 30c - 3-pack
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Product Label Images
The following 5 images provide visual information about the product associated with Arnica Montana 30c - 3-pack NDC 76472-5000 by Sevene Usa, 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.
ARNICA 30C 3P P1 - ARNICA 30c P1 3Pack
This is a homeopathic medicine product containing Arnica Montana 30c in a 3-pack format. It is used for pain relief from muscle soreness, stiffness, swelling, and bruises. Each pack contains approximately 80 pellets totaling 4g. Refer to the package for drug facts, directions for use, and more information.*
ARNICA 30C 3P P2 - ARNICA 30c P2
ARNICA 30C 3P P3 - ARNICA 30c P3
This text provides drug information including an inactive ingredient, organic sucrose, and mentions it is a homeopathic solution. It also offers contact information for questions or comments, along with details about the distributor and a website for further information on the product related to recycling.*
ETUI ARNICA 30C 3P P1 - OLLOIS ETUI 3PACK ARNICA MONTANA P1
This is a product label for Ollois homeopathic medicine that dispenses pellets to relieve pain from muscle soreness, stress, and swelling. The active ingredient is Morera 30. Instructions recommend dissolving 5 pellets under the tongue 3 times a day until symptoms improve or as directed by a doctor. The medicine is distributed by SEVENE USA in Troy, WI. It is organic, vegan, gluten-free, and lactose-free, made in France.*
ETUI ARNICA 30C 3P P2 - OLLOIS ETUI 3PACK ARNICA MONTANA P2
This text mentions common symptoms associated with pain including soreness, stiffness, swelling, and bruises. These symptoms are indicative of various underlying conditions or injuries, and it is important to consult a medical professional for proper evaluation and treatment.*
* 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.
