Product Images Meijer Natural Fiber

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Product Label Images

The following 2 images provide visual information about the product associated with Meijer Natural Fiber NDC 41250-914 by Meijer Distribution 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.

51372MJR

51372MJR

This is a description of a fiber supplement called "100% Natural Psyllium Husk" from Meijer. It comes in an orange smooth flavor and is gluten-free. Its main benefits include promoting regularity, lowering cholesterol, and supporting digestive health. The supplement is available in a 30.4 oz container and should be consumed with 8 ounces of water or other fluids. There are warnings to not take the supplement without enough liquid, as it may cause choking, and to consult a doctor if there are any sudden changes in bowel habits or if constipation persists for more than 7 days. It also includes dosage instructions for both adults and children aged 12 years and older.*

NATURAL FIBER 100% NATURAL PSYLLIUM HUSK - 51572PVLR

NATURAL FIBER 100% NATURAL PSYLLIUM HUSK - 51572PVLR

This is a description of a fiber supplement product called Meijer that helps maintain healthy blood sugar levels and promotes heart and digestive health. It contains natural Psyllium Husk and is gluten-free. The product should be taken with enough water to avoid choking, hence the warning provided. Meijer comes in a 48.2 oz container and is controlled by weight. The supplement facts indicate that the product is used to relieve occasional constipation and might cause allergic reactions in some individuals with sensitivity to psyllium. Adults and children can take one to three doses daily depending on their age. The product is tamper evident and should not be used if the printed seal is missing or broken. Meijer is distributed by Meijer Distribution, Inc. of Grand Rapids, Michigan.*

* 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.