Product Images Rhus Toxicodendron

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Rhus Toxicodendron NDC 0220-4393 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.

RHUTOX7X update 07152020 shorten name v1

RHUTOX7X update 07152020 shorten name v1

Rhus tox 7 is a homeopathic medicine made in France that is designed to alleviate joint pain that is improved by motion. The medication comes with 80 pellets and is suitable for both adults and children. The drug facts label outlines how to use the medication and advises users to seek medical attention if they experience symptoms lasting more than three days or worsen. If pregnant or breastfeeding, it is recommended that individuals consult with a health professional before use. If the product seal is broken, the manufacturer recommends not using it. The product contains lactose and sucrose as inactive ingredients. If you have questions or comments about this product, visit BoironUSA.com or call 1-800-BOIRON-1.*

RHUTOX7X

RHUTOX7X

Rhus toxicodendron 7 is a homeopathic medicine made in France that comes in a container with approximately 80 pellets. The active ingredient contains 0.443mg per pellet and is used to improve joint pain that is caused by motion. The pellets should be dispensed by twisting the container, and when symptoms occur, 5 pellets should be dissolved under the tongue, 3 times a day, until relief or as directed by a doctor. This medication is to be kept out of reach of children and should not be used for more than 3 days, as worsening symptoms require medical advice. If pregnant or breastfeeding, a health professional should be consulted before using Rhus toxicodendron 7.*

* 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.