Product Images Whp Be Gone Minor Arthritic Pain TM
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The following 2 images provide visual information about the product associated with Whp Be Gone Minor Arthritic Pain TM NDC 68428-728 by Washington Homeopathic Products, 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.
image description - BG MAP box

WHE Natural Care produces a natural homeopathic formula for temporary relief of minor arthritic pain, stiffness, joint discomfort, and soreness. The formula contains a blend of homeopathic ingredients, including Aol el st, Cimiciga sc-senig,” Natphas 6c,” and Rhus toxc i, with no side effects. The company is committed to natural medicine and has been producing medicines for over 100 years. The product is safe and effective, easy to administer, and suitable for both adults and children. However, if symptoms persist, users should discontinue use and consult a licensed practitioner, especially if pregnant or nursing.*
image description - BG MAP label

BeGone is a brand of natural care products that has been in existence since 1873. They offer a Homeopathic Medicine for relief from minor arthritic pain, stiff joints, and soreness. The product is available in pill form and is marketed to adults and children. Directions for use are to take 2 pills every 3 hours for 2 days, followed by 2 pills in the morning and at night for 2 weeks. The product contains a blend of homeopathic ingredients such as Apis mel 6, Calc fluor b, Cimicituga 6¢, Nat phos 66, and Rhus tox 6¢. The inactive ingredients are Sucrose/Lactose pils. The product comes in a 10z container and is available for purchase from the website www.BeGone.com or by calling 800-336-1695. A warning is included on the packaging advising users to discontinue use if symptoms persist or recur and to consult with a licensed practitioner if pregnant or nursing.*
* 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.