Product Images Nortriptyline Hydrochloride

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Product Label Images

The following 4 images provide visual information about the product associated with Nortriptyline Hydrochloride NDC 50268-605 by Avpak, 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.

3 - Screen Shot 2017 03 14 at 9.22.01 AM

3 - Screen Shot 2017 03 14 at 9.22.01 AM

This is a medication for oral use. Each package contains five blister cards of 10 capsules each. It is used to treat depression. The medication is only available with a doctor's prescription. It should be stored at 68-77°F (20-25°C) in a controlled temperature environment. It contains Nortriptyline HCI with the equivalent of 50mg base per capsule. The packaging must be kept out of reach of children. The medication is manufactured by Avkare.*

2 - Screen Shot 2017 03 14 at 9.22.18 AM

2 - Screen Shot 2017 03 14 at 9.22.18 AM

Nortriptyline HCI Capsules, USP is a prescription-only medication that contains 25mg of Nortriptyline HCI. It is manufactured by AUKARE Inc. and is available in unit doses of 50 capsules. This medication is used for the treatment of depression, and the package insert should be carefully read prior to use. It should be stored at room temperature, and kept out of the reach of children.*

1 - Screen Shot 2017 03 14 at 9.22.32 AM

1 - Screen Shot 2017 03 14 at 9.22.32 AM

This is a description of a medication called Nortriptyline HCI. It is a capsule used for medical purposes only with a strength equivalent to 10mg per capsule. The dosage is provided in the package insert, and it must be stored at a specific temperature within reach of adults only. The manufacturer is AvKare. There is also a code number, NDC 50268-603-15, and the medication is dispensed along with other medication.*

Chemical Structure - nortriptyline 01

Chemical Structure - nortriptyline 01

* 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.