Product Images Arnica Well
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 2 images provide visual information about the product associated with Arnica Well NDC 66492-069 by Be Well Medical Dba Richard Clement Nutrition Y Be Well Homeopathics 052584997, 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.
1.75oz tube label - Arnica Well Gel 1.75 oz
ArnicaWell is a topical homeopathic gel from Be Well Homeopathics that is used to temporarily relieve pain and swelling from muscle pain, sprains, contusions, and hematomas. It contains active ingredients such as Arnica Montana 3X, Belladonna 3X, and Hypericum Perforatum X. The gel should only be applied to the skin and not on open wounds. It is not recommended for children under 12 years old or for pregnant or breastfeeding women without consulting a healthcare professional. The inactive ingredients include Carbomer 940, Glycerin, and Organic Aloe Vera Pofider. The product is sealed for protection, and questions or comments can be directed to Be Well Homeopathics.*
11oz tube label - Arnica Well Gel 11 oz
ArnicaWell Gel by Be Well Homeopathics is a topical homeopathic gel used to temporarily relieve pain and swelling caused by sprains, bruises, muscle and joint pains, and hematomas. It contains various active ingredients like arnica montana, belladonna, and chamomilla. The product is recommended for use on the skin, and one should consult a health care professional before use during pregnancy or breastfeeding, or for children under the age of 12. The product also contains inactive ingredients like organic aloe vera powder, glycerin, and purified water. The TAMPER SEAL indicates that the product is sealed for protection, and one should not use the product if the seal is broken or missing.*
* 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.
