Product Images Kids Relief

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Product Label Images

The following 2 images provide visual information about the product associated with Kids Relief NDC 71971-9999 by Homeolab International (canada) Inc, 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 - Kids100 9999

image description - Kids100 9999

This is a drug information for a Homeopathic medicine cough and cold syrup. It contains active ingredients such as Drosera, Arnica Montana, Bryonia, Ipecacuanha, Cetraria Islandica, Coccus Cacti, Gorallium Rubrum, Stannum Metallicum, Chamomilla and Coffea Crudea which help to relieve symptoms associated with nighttime cough and cold. This product should be kept out of reach of children, and in case of an accidental overdose, one should contact a medical professional or a poison control center. The directions for use differ depending on the age of the child using the product, and if symptoms persist or get worse, one should consult a doctor immediately. This product is not evaluated by the Food and Drug Administration and is based on traditional homeopathic practice.*

image description - Kids250 9999

image description - Kids250 9999

This is a drug facts label for a homeopathic cough and cold syrup. It contains instructions for use by children between 6 months and 12 years of age. If accidentally overdosed, a medical professional or poison control center should be contacted immediately. The syrup should not be used if the seal is broken or missing. It provides a combination of ingredients traditionally used to help relieve various symptoms associated with nighttime cough and colds. These include dry or painful cough, chest congestion, fever, and aches and pains. The label also includes warnings such as when to stop using the product and when to seek medical advice.*

* 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.