Product Images Allergy Relief

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Product Label Images

The following 2 images provide visual information about the product associated with Allergy Relief NDC 60512-0004 by Homeolab Usa 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.

Inner Label - Inner Label

Inner Label - Inner Label

This is a drug facts label for a homeopathic medication with the active ingredients m cepa 6X, Arsenicum album 9X, Nux vomica 6X, Sabadilla 6X, Sticta pulmonaria 6X, Cuprum metallicum 9X, and Aralia racemosa 6X. The product is manufactured for Homeolab USA, Inc. and should not be used if the cap seal is broken. It is recommended to keep this product out of reach of children and to seek advice from a health professional before using the product if pregnant or nursing. The product is to be administered by allowing 3 to 4 pellets to dissolve in the mouth three times a day for adults and 1/2 the adult dosage for children under 12. Inactive ingredients include lactose and saccharose, and the product is a Canada-based item. The efficacy of the product is based on traditional homeopathic theories, and there are no valid studies using current scientific methods that demonstrate its efficacy.*

NDC 60512-0004-1 - NDC 60512 0004 1

NDC 60512-0004-1 - NDC 60512 0004 1

This is a drug information sheet for a homeopathic medicine that claims to relieve symptoms of nasal congestion, sneezing, runny nose, and itchy, watery eyes. It contains a list of active ingredients, dosage instructions, and a warning to keep the medication out of the reach of children and to seek medical advice if pregnant or nursing. The text also notes that efficacy is based on traditional homeopathic theories and that no scientific studies are available to support the product's efficacy. The product is made by a Canadian company and sold in the United States.*

* 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.