Product Images Clonidine Hydrochloride
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Clonidine Hydrochloride NDC 51138-017 by Med-health Pharma, Llc, 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.
This is a description of Clonidine Hydrochloride Tablets. The text contains information about the manufacturer, dosage, and storage instructions. It also includes a caution regarding dispensing without a prescription. The tablets are available in 0.1mg strength and come in a package of 30 tablets. The text provides the contact information for the repackaged company as well. The lot number of the tablets is included as well.*
This product is Clonidine Hydrochloride tablets, a medication used for the treatment of high blood pressure. The tablets come in a container with 20 tablets, each containing 0.2mg of the active ingredient. It is manufactured by Mutual Pharmaceutical and packaged by Med Health Pharma. The package insert should be consulted for full prescribing information, and it is important to note that dispensing without a prescription is prohibited by law. Storage should be at a controlled room temperature of 20-25 degrees Celsius (68-77 degrees Fahrenheit).*
Clonidine Hydrochloride Tablets, USP with a strength of 0.3mg and packed in 30 tablets per pack. It is manufactured by Mutual Pharmaceutical located in Philadelphia, PA and repackaged by Med-Health Pharma in North Las Vegas, NV. The product should be stored at a controlled room temperature of 20-25°C (68-77°F). The dosage information is provided in the package insert. The NDC number of the product is 51138-019-30. This is a prescription-only medication and requires federal law compliance. The other values are not available to read.*
* 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.