Product Images Hemopropin Hemorrhoidal

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Product Label Images

The following 3 images provide visual information about the product associated with Hemopropin Hemorrhoidal NDC 72086-010 by Apipharma D.o.o, 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 Package - Inner Package

Inner Package - Inner Package

New Label - New Label

New Label - New Label

This is a drug information leaflet for a product most likely used to treat hemorrhoids. The leaflet contains information on the ingredients, uses, instructions for use, and warnings about the product. It also provides precautions such as consulting a doctor if there is no improvement within seven days or if there is excessive bleeding or pain on use. The product should not be used by pregnant or breastfeeding individuals unless advised by a doctor. The leaflet also contains information about the inactive ingredients and how the product should be stored.*

Outer Package - Outer Package

Outer Package - Outer Package

This is a drug information sheet for a product called Hemopropin. It is used for the relief of itching and discomfort associated with hemorrhoids and inflamed hemorthoidal tissues. It temporarily protects irritated areas and helps make bowel movements less painful. It is recommended for adults, and children under 12 years of age should consult a doctor before use. It contains a combination of ingredients including alcohol, propolis wax, roman chamomile, and water. Hemopropin should not be used by those with hypersensitivity to propolis or known allergies to bees, bee products or by-products. It is for rectal use only, and if the user experiences worsening symptoms or no improvement in 7 days or bleeds when using the applicator, they should stop using it and consult a doctor. If swallowed, medical attention should be sought immediately.*

* 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.