Product Images Chestal
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Product Label Images
The following 3 images provide visual information about the product associated with Chestal NDC 0220-9032 by Laboratoires 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.
Chestal Adult Honey ETU.1G1N 08.2020

This is the drug facts section and information about a product called Chestal Honey cough syrup, a homeopathic medicine used for relieving chest congestion and dry cough. The product contains premium Acacia honey, a time-tested remedy known for soothing throat. The package comes in the form of recyclable amber glass bottles to protect the purity of the ingredients. Boiron promises customer satisfaction and respects the health of the customers. Bounty Chestal Honey is a non-drowsy cough relief solution.*
Chestal Honey Adult ETU.1FGB 04.2020

Chestal Honey is a multi-symptom formula, homeopathic medicine made with acacia honey that soothes coughing and throat, relieves dry and productive coughs. It does not have known drug interactions and is recommended for everyone aged 2 or more. The family-owned company, Boiron, has been providing quality medicines for better health since 1952 and is a world leader in homeopathic medicine. The product is available in 20 adult doses. Inactive ingredients are not available.*
box - chestal hon adult

Chestal Honey is a natural homeopathic medicine made with real honey that helps soothe coughs and congestion. It comes in a multi-symptom formula that addresses both dry and productive coughs. The non-drowsy formula is safe for adults and children ages 2 and up and has no drug interactions. The Bairon family has been providing homeopathic remedies since 1982, and the Chestal Honey product is part of their commitment to natural healthcare solutions. Visit boiranusa.com/promise for more information.*
* 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.