Product Images Rhus Tox

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Product Label Images

The following 2 images provide visual information about the product associated with Rhus Tox NDC 0220-4398 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.

RHUTOX12C updated 07152020 shorten name

RHUTOX12C updated 07152020 shorten name

This is a description of a homeopathic medicine called Rhus Tox 12. It contains approximately 80 pellets and is made in France. This medicine is used to relieve joint pain that is improved by motion. The active ingredient is present in each pellet in the amount of 0.443 mg. Users need to dissolve 5 pellets under the tongue 3 times a day for symptom relief or as directed by a doctor. The inactive ingredients include lactose and sucrose. The product warning mentions that one should stop the use of the medicine and seek medical advice if the symptoms worsen or continue to persist for more than three days. The product is distributed by Boiron Inc. of Newtown Square, PA, and the package has a dispenser that the user needs to twist and tilt to release the pellets.*

label - RHUTOX12C

label - RHUTOX12C

This is a drug information label for a homeopathic medicine called Rhus toxicodendron. It comes with 80 pellets to be dissolved under the tongue to alleviate joint pain that is improved by motion. Contains 0.443mg of active ingredients per pellet. The product warns that if symptoms persist for more than three days, worsen or if the person is pregnant, they should seek medical advice. The drug facts label also warns that if the seal of the pellet dispenser is broken, it should not be used. The medicine is manufactured in France by an American company called Boiron Inc. The label provides contact details for the manufacturer alongside instructions on the back for how to dispense the pellets.*

* 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.