Product Images Be Gone Sinus Congestion TM
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Product Label Images
The following 2 images provide visual information about the product associated with Be Gone Sinus Congestion TM NDC 68428-730 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 of box - BG Sinus box
Natural Care has been a trusted name since 1873 and offers a homeopathic formula called Be gone™ Sinus Congestion for thick mucus draining into the throat, frequent hawking, and headache from inflammation of mucous membranes. The gentle formula is natural and over 100 years old and is effective and easy to administer. It uses homeopathic ingredients identified in the Homeopathic Pharmacopoeia of the United States (HPUS) and is safe with no side effects. Adults can take two pills every 3 hours for 2 days, then 2 pills morning and night for 2 weeks. Children can take 1 pill, repeated as necessary. If symptoms persist or worsen, consult a licensed practitioner before using with other medications. The product contains Sucrose and Lactose and has 107 g of contents. For more information, visit www.BeGone.com or call 800-336-1695.*
image of label - BG Sinus label
This is a description of a homeopathic medicine called "Be Zoné" that helps relieve sinus congestion, post-nasal drip, and sinus headache. It comes in a 10z bottle and contains Calc carb 6c, Hydrastis 6c, and Kali bic 6¢ as its active ingredients. Adults are advised to take two pills every three hours for two days, followed by two pills twice a day for two weeks. Children are advised to take one pill at a time, and repeat as necessary. The medicine also comes with a warning that it should be discontinued if symptoms persist, and it's not advised for pregnant or nursing women without consulting with a licensed practitioner.*
* 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.