U.S. Court of Appeals for the Fourth Circuit, 2025

Mathis Johnson v. Tibbs

Mathis Johnson v. Tibbs
U.S. Court of Appeals for the Fourth Circuit · Decided November 25, 2025

Mathis Johnson v. Tibbs

Opinion

USCA4 Appeal: 25-6463 Doc: 9 Filed: 11/25/2025 Pg: 1 of 2

UNPUBLISHED UNITED STATES COURT OF APPEALS FOR THE FOURTH CIRCUIT

No. 25-6463

MATHIS EUGENE JOHNSON, Plaintiff - Appellant, v. LT. TIBBS; US MARSHALS; PARKERSBURG TASK FORCE; WVDCR, GTL phone; NCRJ; OWNER OF NCRJ; SCF; UNITED STATES GOV. MILITARY AFFAIRS; HOPE MINISTRYS; CLARISSA HULL, Defendants - Appellees.

Appeal from the United States District Court for the Northern District of West Virginia, at Wheeling. John Preston Bailey, District Judge. (5:25-cv-00094-JPB-JPM)

Submitted: November 20, 2025 Decided: November 25, 2025

Before THACKER, HARRIS, and QUATTLEBAUM, Circuit Judges.

Affirmed by unpublished per curiam opinion.

Mathis Eugene Johnson, Appellant Pro Se.

Unpublished opinions are not binding precedent in this circuit.

USCA4 Appeal: 25-6463 Doc: 9 Filed: 11/25/2025 Pg: 2 of 2

PER CURIAM: Mathis Eugene Johnson appeals the district court’s order dismissing without prejudice his complaint filed pursuant to Bivens v. Six Unknown Named Agents of Fed. Bureau of Narcotics, 403 U.S. 388 (1971). On appeal, we confine our review to the issues raised in the informal brief. See 4th Cir. R. 34(b). Because Johnson’s informal brief does not challenge the basis for the district court’s disposition, he has forfeited appellate review of the court’s order. See Jackson v. Lightsey, 775 F.3d 170, 177 (4th Cir. 2014) (“The informal brief is an important document; under Fourth Circuit rules, our review is limited to issues preserved in that brief.”). Accordingly, we affirm the district court’s order. We dispense with oral argument because the facts and legal contentions are adequately presented in the materials before this court and argument would not aid the decisional process.

AFFIRMED

Case-law data current through December 31, 2025. Source: CourtListener bulk data.